CN117409868A - Panda genetic map drawing method and system - Google Patents
Panda genetic map drawing method and system Download PDFInfo
- Publication number
- CN117409868A CN117409868A CN202311717375.5A CN202311717375A CN117409868A CN 117409868 A CN117409868 A CN 117409868A CN 202311717375 A CN202311717375 A CN 202311717375A CN 117409868 A CN117409868 A CN 117409868A
- Authority
- CN
- China
- Prior art keywords
- genetic map
- panda
- data stream
- detected
- configuration
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 230000002068 genetic effect Effects 0.000 title claims abstract description 548
- 208000025174 PANDAS Diseases 0.000 title claims abstract description 240
- 208000021155 Paediatric autoimmune neuropsychiatric disorders associated with streptococcal infection Diseases 0.000 title claims abstract description 240
- 240000004718 Panda Species 0.000 title claims abstract description 240
- 235000016496 Panda oleosa Nutrition 0.000 title claims abstract description 240
- 238000000034 method Methods 0.000 title claims abstract description 37
- 201000010099 disease Diseases 0.000 claims abstract description 65
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 claims abstract description 65
- 238000001228 spectrum Methods 0.000 claims abstract description 48
- 208000026350 Inborn Genetic disease Diseases 0.000 claims abstract description 9
- 208000016361 genetic disease Diseases 0.000 claims abstract description 9
- 230000000694 effects Effects 0.000 claims abstract description 8
- 239000008280 blood Substances 0.000 claims description 48
- 210000004369 blood Anatomy 0.000 claims description 48
- 238000013507 mapping Methods 0.000 claims description 15
- 230000008901 benefit Effects 0.000 abstract description 3
- 238000012545 processing Methods 0.000 abstract description 3
- 230000009286 beneficial effect Effects 0.000 abstract description 2
- 238000012986 modification Methods 0.000 description 5
- 230000004048 modification Effects 0.000 description 5
- 241001465754 Metazoa Species 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 239000000463 material Substances 0.000 description 2
- 235000017166 Bambusa arundinacea Nutrition 0.000 description 1
- 235000017491 Bambusa tulda Nutrition 0.000 description 1
- 208000002330 Congenital Heart Defects Diseases 0.000 description 1
- 208000018035 Dental disease Diseases 0.000 description 1
- 244000082204 Phyllostachys viridis Species 0.000 description 1
- 235000015334 Phyllostachys viridis Nutrition 0.000 description 1
- 208000014151 Stomatognathic disease Diseases 0.000 description 1
- 239000011425 bamboo Substances 0.000 description 1
- 238000004590 computer program Methods 0.000 description 1
- 208000028831 congenital heart disease Diseases 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 230000012173 estrus Effects 0.000 description 1
- 235000013305 food Nutrition 0.000 description 1
- 230000013011 mating Effects 0.000 description 1
- 235000013372 meat Nutrition 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 201000010065 polycystic ovary syndrome Diseases 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
- G16B45/00—ICT specially adapted for bioinformatics-related data visualisation, e.g. displaying of maps or networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computing arrangements using knowledge-based models
- G06N5/01—Dynamic search techniques; Heuristics; Dynamic trees; Branch-and-bound
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
- G16B40/00—ICT specially adapted for biostatistics; ICT specially adapted for bioinformatics-related machine learning or data mining, e.g. knowledge discovery or pattern finding
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
- Y02A90/10—Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Theoretical Computer Science (AREA)
- Medical Informatics (AREA)
- Data Mining & Analysis (AREA)
- Health & Medical Sciences (AREA)
- Artificial Intelligence (AREA)
- Biotechnology (AREA)
- Evolutionary Biology (AREA)
- General Health & Medical Sciences (AREA)
- Bioinformatics & Computational Biology (AREA)
- Spectroscopy & Molecular Physics (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Biophysics (AREA)
- Software Systems (AREA)
- Evolutionary Computation (AREA)
- Epidemiology (AREA)
- Databases & Information Systems (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Public Health (AREA)
- Bioethics (AREA)
- Computational Linguistics (AREA)
- Computing Systems (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Mathematical Physics (AREA)
- Measuring Or Testing Involving Enzymes Or Micro-Organisms (AREA)
Abstract
The invention belongs to the technical field of data processing, and relates to a panda genetic map drawing method and a panda genetic map drawing system, wherein a disease genetic map configuration scene is drawn, and the disease genetic map configuration scene comprises a genetic map data flow configuration subgraph and a genetic map node configuration subgraph; determining a custom genetic map data stream according to the data stream configuration operation in the genetic map data stream configuration subgraph; according to the node input operation in the genetic map node configuration subgraph, acquiring input genetic map nodes; according to the received genetic map sending operation, and the panda to be detected currently has a disease genetic map potential value, drawing genetic map nodes in a family spectrum scene according to a custom genetic map data stream, wherein the disease genetic map potential value is obtained by removing a preset number of non-genetic diseases from the panda to be detected currently. The beneficial technical effects of the invention include reasonable planning of panda reproduction and donation destination, effective utilization of panda genetic data, and benefit for panda population protection.
Description
Technical Field
The invention belongs to the technical field of data processing, and particularly relates to a panda genetic map drawing method and system.
Background
Pandas are endangered rare animals and survive on earth for at least 800 years, are known as "activated fossils" and national treasures of china and are deeply favored by people. Pandas have evolved from previous meat animals to vegetarian animals taking bamboo as main food today, and have important research value in long evolution, but the current situation of pandas is that living environment is single, space is limited, and three difficult problems of housing pandas are caused: difficult oestrus, difficult mating and difficult child care.
In order to better communicate and exchange with the world, panda donation has been attracting attention in recent years as an important tie for international exchange, and pandas have a tendency to be geographically distributed worldwide.
How to better plan the reproduction and donation destination of pandas, the utilization of genetic data of pandas is still blank, and the full utilization of the data is helpful for the protection of pandas groups.
Disclosure of Invention
According to a first aspect of the present invention, the present invention claims a panda genetic map drawing method, the method comprising:
drawing a disease genetic map configuration scene, wherein the disease genetic map configuration scene comprises a genetic map data flow configuration subgraph and a genetic map node configuration subgraph;
Determining a custom genetic map data stream according to the data stream configuration operation in the genetic map data stream configuration subgraph;
acquiring input genetic map nodes according to node input operation in the genetic map node configuration subgraph;
and according to the received genetic map sending operation, and the panda to be detected currently has a disease genetic map potential value, drawing the genetic map nodes in a family spectrum scene according to the custom genetic map data stream, wherein the disease genetic map potential value is obtained by removing a preset number of non-genetic diseases from the panda to be detected currently.
Further, the disease genetic map configuration scene comprises a first genetic map configuration node and a second genetic map configuration node;
the determining the custom genetic map data stream according to the data stream configuration operation in the genetic map data stream configuration subgraph comprises the following steps:
determining a one-dimensional genetic map data stream based on data stream movement corresponding to the data stream configuration operation according to a mapping operation on the first genetic map configuration node and receiving the data stream configuration operation in the genetic map data stream configuration subgraph;
According to the mapping operation of the second genetic map configuration node, the data flow configuration operation in the genetic map data flow configuration sub-graph is received, and a multidimensional genetic map data flow is determined based on the data flow movement corresponding to the data flow configuration operation;
the custom genetic map data stream is the multidimensional genetic map data stream;
the step of drawing the genetic map nodes in the family spectrum scene according to the custom genetic map data stream, wherein the genetic map nodes are operated according to the received genetic map, and the panda to be detected currently has a disease genetic map potential value, and the step of drawing the genetic map nodes comprises the following steps:
according to the received genetic map sending operation, and the current panda to be detected has the disease genetic map potential value, identifying the relatives of the panda to be detected according to the donation history;
extracting the characteristics of the panda relative to be detected from the donation history according to the presence of the panda relative to be detected in the donation history, so as to obtain the node characteristics of the panda relative to be detected;
determining a panda subgraph to be detected based on the node characteristics, wherein the panda subgraph to be detected is a subgraph corresponding to the parent of the panda to be detected in the donation history;
And according to the superposition of the sub-graph of the panda to be detected and the multidimensional genetic map data stream, drawing the genetic map nodes around the relative of the panda to be detected according to the multidimensional genetic map data stream.
Further, the method further comprises:
according to the fact that the donation history does not contain the panda relatives to be detected or contains the panda relatives to be detected and no intersection point exists between the subgraph of the panda to be detected and the multidimensional genetic map data stream, drawing the genetic map nodes in the family spectrum scene according to the multidimensional genetic map data stream;
the drawing of the genetic map nodes in the family spectrum scene according to the custom genetic map data stream further comprises:
filling the genetic map nodes based on the data stream length of the multidimensional genetic map data stream and the node length of the genetic map nodes to obtain filled genetic map nodes;
drawing the filled genetic map nodes in the family spectrum scene according to the multidimensional genetic map data stream and a genetic map drawing direction, wherein the genetic map drawing direction is determined based on the data stream moving trend of the data stream configuration operation;
The custom genetic map data stream is the one-dimensional genetic map data stream;
the step of drawing the genetic map nodes in the family spectrum scene according to the custom genetic map data stream, wherein the genetic map nodes are operated according to the received genetic map, and the panda to be detected currently has a disease genetic map potential value, and the step of drawing the genetic map nodes comprises the following steps:
according to the received genetic map sending operation, and the current panda to be detected has the disease genetic map potential value, identifying the relatives of the panda to be detected according to the donation history;
extracting the characteristics of the panda relative to be detected from the donation history according to the presence of the panda relative to be detected in the donation history, so as to obtain the node characteristics of the panda relative to be detected;
determining the panda blood rims to be detected based on the node characteristics, wherein the panda blood rims to be detected are blood rims of the panda relatives to be detected in the donation history;
according to the coincidence of the panda blood rims to be detected and the one-dimensional genetic map data stream, carrying out data stream adjustment on the one-dimensional genetic map data stream based on the panda blood rims to be detected, wherein the one-dimensional genetic map data stream after data stream adjustment surrounds the panda blood rims to be detected;
And controlling the genetic map nodes to be drawn around the panda blood rims to be detected outside the panda blood rims to be detected according to the one-dimensional genetic map data stream adjusted by the data stream.
Further, the drawing the genetic map node in the family spectrum scene according to the custom genetic map data stream further includes:
drawing the genetic map nodes in the family spectrum scene according to the one-dimensional genetic map data stream and a genetic map drawing direction, wherein the genetic map drawing direction is determined based on the data stream moving trend of the data stream configuration operation;
the method comprises the steps of after the node input operation in the subgraph is configured according to the genetic map node and the input genetic map node is acquired:
and displaying the preview drawing effect of the genetic map nodes in the genetic map data flow configuration subgraph according to the node input operation and the custom genetic map data flow.
Further, the method further comprises:
and according to the received genetic map sending operation, and the panda to be detected currently has the disease genetic map potential value, sending genetic map data to a server, wherein the genetic map data comprises the custom genetic map data stream, the genetic map nodes, a donation history identifier currently displaying a donation history and an ID of the panda to be detected currently, and the server is used for forwarding the genetic map data to other genetic map drawing clients.
According to a second aspect of the present invention, the present invention claims a panda genetic mapping system comprising:
the scene drawing module is used for drawing a disease genetic map configuration scene which comprises a genetic map data flow configuration subgraph and a genetic map node configuration subgraph;
the data flow determining module is used for determining a custom genetic map data flow according to the data flow configuration operation in the genetic map data flow configuration subgraph;
the node acquisition module is used for acquiring the input genetic map nodes according to the node input operation in the genetic map node configuration subgraph;
and the map drawing module is used for drawing the genetic map nodes in a family spectrum scene according to the received genetic map sending operation and the current panda to be detected with the genetic map potential value of the disease, wherein the genetic map potential value of the disease is obtained by removing a preset number of non-genetic diseases from the current panda to be detected.
Further, the disease genetic map configuration scene comprises a first genetic map configuration node and a second genetic map configuration node;
the determining the custom genetic map data stream according to the data stream configuration operation in the genetic map data stream configuration subgraph comprises the following steps:
Determining a one-dimensional genetic map data stream based on data stream movement corresponding to the data stream configuration operation according to a mapping operation on the first genetic map configuration node and receiving the data stream configuration operation in the genetic map data stream configuration subgraph;
according to the mapping operation of the second genetic map configuration node, the data flow configuration operation in the genetic map data flow configuration sub-graph is received, and a multidimensional genetic map data flow is determined based on the data flow movement corresponding to the data flow configuration operation;
the custom genetic map data stream is the multidimensional genetic map data stream;
the step of drawing the genetic map nodes in the family spectrum scene according to the custom genetic map data stream, wherein the genetic map nodes are operated according to the received genetic map, and the panda to be detected currently has a disease genetic map potential value, and the step of drawing the genetic map nodes comprises the following steps:
according to the received genetic map sending operation, and the current panda to be detected has the disease genetic map potential value, identifying the relatives of the panda to be detected according to the donation history;
extracting the characteristics of the panda relative to be detected from the donation history according to the presence of the panda relative to be detected in the donation history, so as to obtain the node characteristics of the panda relative to be detected;
Determining a panda subgraph to be detected based on the node characteristics, wherein the panda subgraph to be detected is a subgraph corresponding to the parent of the panda to be detected in the donation history;
and according to the superposition of the sub-graph of the panda to be detected and the multidimensional genetic map data stream, drawing the genetic map nodes around the relative of the panda to be detected according to the multidimensional genetic map data stream.
Further, the method further comprises the following steps:
according to the fact that the donation history does not contain the panda relatives to be detected or contains the panda relatives to be detected and no intersection point exists between the subgraph of the panda to be detected and the multidimensional genetic map data stream, drawing the genetic map nodes in the family spectrum scene according to the multidimensional genetic map data stream;
the drawing of the genetic map nodes in the family spectrum scene according to the custom genetic map data stream further comprises:
filling the genetic map nodes based on the data stream length of the multidimensional genetic map data stream and the node length of the genetic map nodes to obtain filled genetic map nodes;
drawing the filled genetic map nodes in the family spectrum scene according to the multidimensional genetic map data stream and a genetic map drawing direction, wherein the genetic map drawing direction is determined based on the data stream moving trend of the data stream configuration operation;
The custom genetic map data stream is the one-dimensional genetic map data stream;
the step of drawing the genetic map nodes in the family spectrum scene according to the custom genetic map data stream, wherein the genetic map nodes are operated according to the received genetic map, and the panda to be detected currently has a disease genetic map potential value, and the step of drawing the genetic map nodes comprises the following steps:
according to the received genetic map sending operation, and the current panda to be detected has the disease genetic map potential value, identifying the relatives of the panda to be detected according to the donation history;
extracting the characteristics of the panda relative to be detected from the donation history according to the presence of the panda relative to be detected in the donation history, so as to obtain the node characteristics of the panda relative to be detected;
determining the panda blood rims to be detected based on the node characteristics, wherein the panda blood rims to be detected are blood rims of the panda relatives to be detected in the donation history;
according to the coincidence of the panda blood rims to be detected and the one-dimensional genetic map data stream, carrying out data stream adjustment on the one-dimensional genetic map data stream based on the panda blood rims to be detected, wherein the one-dimensional genetic map data stream after data stream adjustment surrounds the panda blood rims to be detected;
And controlling the genetic map nodes to be drawn around the panda blood rims to be detected outside the panda blood rims to be detected according to the one-dimensional genetic map data stream adjusted by the data stream.
Further, the drawing the genetic map node in the family spectrum scene according to the custom genetic map data stream further includes:
drawing the genetic map nodes in the family spectrum scene according to the one-dimensional genetic map data stream and a genetic map drawing direction, wherein the genetic map drawing direction is determined based on the data stream moving trend of the data stream configuration operation;
the node input operation in the subgraph is configured according to the genetic map nodes, and after the input genetic map nodes are obtained, the method comprises the following steps:
and displaying the preview drawing effect of the genetic map nodes in the genetic map data flow configuration subgraph according to the node input operation and the custom genetic map data flow.
Further, the method further comprises the following steps:
and according to the received genetic map sending operation, and the panda to be detected currently has the disease genetic map potential value, sending genetic map data to a server, wherein the genetic map data comprises the custom genetic map data stream, the genetic map nodes, a donation history identifier currently displaying a donation history and an ID of the panda to be detected currently, and the server is used for forwarding the genetic map data to other genetic map drawing clients.
The invention belongs to the technical field of data processing, and relates to a panda genetic map drawing method and a panda genetic map drawing system, wherein a disease genetic map configuration scene is drawn, and the disease genetic map configuration scene comprises a genetic map data flow configuration subgraph and a genetic map node configuration subgraph; determining a custom genetic map data stream according to the data stream configuration operation in the genetic map data stream configuration subgraph; according to the node input operation in the genetic map node configuration subgraph, acquiring input genetic map nodes; according to the received genetic map sending operation, and the panda to be detected currently has a disease genetic map potential value, drawing genetic map nodes in a family spectrum scene according to a custom genetic map data stream, wherein the disease genetic map potential value is obtained by removing a preset number of non-genetic diseases from the panda to be detected currently. The beneficial technical effects of the invention include reasonable planning of panda reproduction and donation destination, effective utilization of panda genetic data, and benefit for panda population protection.
Drawings
FIG. 1 is a flowchart showing a method for drawing panda genetic map as claimed in the present invention;
FIG. 2 is a second workflow diagram of a panda genetic map drawing method as claimed in the present invention;
FIG. 3 is a third workflow diagram of a panda genetic map drawing method of the present invention;
FIG. 4 is a block diagram showing the construction of a panda genetic map drawing system according to the present invention.
Detailed Description
According to a first embodiment of the present invention, referring to fig. 1, the present invention claims a panda genetic map drawing method, the method comprising:
drawing a disease genetic map configuration scene, wherein the disease genetic map configuration scene comprises a genetic map data flow configuration subgraph and a genetic map node configuration subgraph;
determining a custom genetic map data stream according to the data stream configuration operation in the genetic map data stream configuration subgraph;
acquiring input genetic map nodes according to node input operation in the genetic map node configuration subgraph;
and according to the received genetic map sending operation, and the panda to be detected currently has a disease genetic map potential value, drawing the genetic map nodes in a family spectrum scene according to the custom genetic map data stream, wherein the disease genetic map potential value is obtained by removing a preset number of non-genetic diseases from the panda to be detected currently.
Wherein, in this embodiment, the individual attribute information of the pandas, the information of the region to be donated, and the family attribute information of the pandas are stored using the database;
the family genetic disease information at least comprises dental disease information, polycystic ovary syndrome information and congenital heart disease information;
and the region to be donated acquires the individual attribute information of other family members of the pandas to be donated according to the family genealogy information of the pandas to be donated, and donates the other family members to the region to be donated when the individual attribute information of at least one other family member meets the region to be donated.
Further, the disease genetic map configuration scene comprises a first genetic map configuration node and a second genetic map configuration node;
the determining the custom genetic map data stream according to the data stream configuration operation in the genetic map data stream configuration subgraph comprises the following steps:
determining a one-dimensional genetic map data stream based on data stream movement corresponding to the data stream configuration operation according to a mapping operation on the first genetic map configuration node and receiving the data stream configuration operation in the genetic map data stream configuration subgraph;
According to the mapping operation of the second genetic map configuration node, the data flow configuration operation in the genetic map data flow configuration sub-graph is received, and a multidimensional genetic map data flow is determined based on the data flow movement corresponding to the data flow configuration operation;
the custom genetic map data stream is the multidimensional genetic map data stream;
referring to fig. 2, according to the received genetic map sending operation, and the panda to be detected currently has a disease genetic map potential value, the drawing of the genetic map nodes in the family spectrum scene according to the custom genetic map data stream includes:
according to the received genetic map sending operation, and the current panda to be detected has the disease genetic map potential value, identifying the relatives of the panda to be detected according to the donation history;
extracting the characteristics of the panda relative to be detected from the donation history according to the presence of the panda relative to be detected in the donation history, so as to obtain the node characteristics of the panda relative to be detected;
determining a panda subgraph to be detected based on the node characteristics, wherein the panda subgraph to be detected is a subgraph corresponding to the parent of the panda to be detected in the donation history;
And according to the superposition of the sub-graph of the panda to be detected and the multidimensional genetic map data stream, drawing the genetic map nodes around the relative of the panda to be detected according to the multidimensional genetic map data stream.
Further, the method further comprises:
according to the fact that the donation history does not contain the panda relatives to be detected or contains the panda relatives to be detected and no intersection point exists between the subgraph of the panda to be detected and the multidimensional genetic map data stream, drawing the genetic map nodes in the family spectrum scene according to the multidimensional genetic map data stream;
the drawing of the genetic map nodes in the family spectrum scene according to the custom genetic map data stream further comprises:
filling the genetic map nodes based on the data stream length of the multidimensional genetic map data stream and the node length of the genetic map nodes to obtain filled genetic map nodes;
drawing the filled genetic map nodes in the family spectrum scene according to the multidimensional genetic map data stream and a genetic map drawing direction, wherein the genetic map drawing direction is determined based on the data stream moving trend of the data stream configuration operation;
The custom genetic map data stream is the one-dimensional genetic map data stream;
referring to fig. 3, according to the received genetic map sending operation, and the panda to be detected currently has a disease genetic map potential value, the drawing of the genetic map nodes in the family spectrum scene according to the custom genetic map data stream includes:
according to the received genetic map sending operation, and the current panda to be detected has the disease genetic map potential value, identifying the relatives of the panda to be detected according to the donation history;
extracting the characteristics of the panda relative to be detected from the donation history according to the presence of the panda relative to be detected in the donation history, so as to obtain the node characteristics of the panda relative to be detected;
determining the panda blood rims to be detected based on the node characteristics, wherein the panda blood rims to be detected are blood rims of the panda relatives to be detected in the donation history;
according to the coincidence of the panda blood rims to be detected and the one-dimensional genetic map data stream, carrying out data stream adjustment on the one-dimensional genetic map data stream based on the panda blood rims to be detected, wherein the one-dimensional genetic map data stream after data stream adjustment surrounds the panda blood rims to be detected;
And controlling the genetic map nodes to be drawn around the panda blood rims to be detected outside the panda blood rims to be detected according to the one-dimensional genetic map data stream adjusted by the data stream.
Further, the drawing the genetic map node in the family spectrum scene according to the custom genetic map data stream further includes:
drawing the genetic map nodes in the family spectrum scene according to the one-dimensional genetic map data stream and a genetic map drawing direction, wherein the genetic map drawing direction is determined based on the data stream moving trend of the data stream configuration operation;
the method comprises the steps of after the node input operation in the subgraph is configured according to the genetic map node and the input genetic map node is acquired:
and displaying the preview drawing effect of the genetic map nodes in the genetic map data flow configuration subgraph according to the node input operation and the custom genetic map data flow.
Further, the method further comprises:
and according to the received genetic map sending operation, and the panda to be detected currently has the disease genetic map potential value, sending genetic map data to a server, wherein the genetic map data comprises the custom genetic map data stream, the genetic map nodes, a donation history identifier currently displaying a donation history and an ID of the panda to be detected currently, and the server is used for forwarding the genetic map data to other genetic map drawing clients.
According to a second embodiment of the present invention, referring to fig. 4, the present invention claims a panda genetic map drawing system comprising:
the scene drawing module is used for drawing a disease genetic map configuration scene which comprises a genetic map data flow configuration subgraph and a genetic map node configuration subgraph;
the data flow determining module is used for determining a custom genetic map data flow according to the data flow configuration operation in the genetic map data flow configuration subgraph;
the node acquisition module is used for acquiring the input genetic map nodes according to the node input operation in the genetic map node configuration subgraph;
and the map drawing module is used for drawing the genetic map nodes in a family spectrum scene according to the received genetic map sending operation and the current panda to be detected with the genetic map potential value of the disease, wherein the genetic map potential value of the disease is obtained by removing a preset number of non-genetic diseases from the current panda to be detected.
Further, the disease genetic map configuration scene comprises a first genetic map configuration node and a second genetic map configuration node;
The determining the custom genetic map data stream according to the data stream configuration operation in the genetic map data stream configuration subgraph comprises the following steps:
determining a one-dimensional genetic map data stream based on data stream movement corresponding to the data stream configuration operation according to a mapping operation on the first genetic map configuration node and receiving the data stream configuration operation in the genetic map data stream configuration subgraph;
according to the mapping operation of the second genetic map configuration node, the data flow configuration operation in the genetic map data flow configuration sub-graph is received, and a multidimensional genetic map data flow is determined based on the data flow movement corresponding to the data flow configuration operation;
the custom genetic map data stream is the multidimensional genetic map data stream;
the step of drawing the genetic map nodes in the family spectrum scene according to the custom genetic map data stream, wherein the genetic map nodes are operated according to the received genetic map, and the panda to be detected currently has a disease genetic map potential value, and the step of drawing the genetic map nodes comprises the following steps:
according to the received genetic map sending operation, and the current panda to be detected has the disease genetic map potential value, identifying the relatives of the panda to be detected according to the donation history;
Extracting the characteristics of the panda relative to be detected from the donation history according to the presence of the panda relative to be detected in the donation history, so as to obtain the node characteristics of the panda relative to be detected;
determining a panda subgraph to be detected based on the node characteristics, wherein the panda subgraph to be detected is a subgraph corresponding to the parent of the panda to be detected in the donation history;
and according to the superposition of the sub-graph of the panda to be detected and the multidimensional genetic map data stream, drawing the genetic map nodes around the relative of the panda to be detected according to the multidimensional genetic map data stream.
Further, the method further comprises the following steps:
according to the fact that the donation history does not contain the panda relatives to be detected or contains the panda relatives to be detected and no intersection point exists between the subgraph of the panda to be detected and the multidimensional genetic map data stream, drawing the genetic map nodes in the family spectrum scene according to the multidimensional genetic map data stream;
the drawing of the genetic map nodes in the family spectrum scene according to the custom genetic map data stream further comprises:
filling the genetic map nodes based on the data stream length of the multidimensional genetic map data stream and the node length of the genetic map nodes to obtain filled genetic map nodes;
Drawing the filled genetic map nodes in the family spectrum scene according to the multidimensional genetic map data stream and a genetic map drawing direction, wherein the genetic map drawing direction is determined based on the data stream moving trend of the data stream configuration operation;
the custom genetic map data stream is the one-dimensional genetic map data stream;
the step of drawing the genetic map nodes in the family spectrum scene according to the custom genetic map data stream, wherein the genetic map nodes are operated according to the received genetic map, and the panda to be detected currently has a disease genetic map potential value, and the step of drawing the genetic map nodes comprises the following steps:
according to the received genetic map sending operation, and the current panda to be detected has the disease genetic map potential value, identifying the relatives of the panda to be detected according to the donation history;
extracting the characteristics of the panda relative to be detected from the donation history according to the presence of the panda relative to be detected in the donation history, so as to obtain the node characteristics of the panda relative to be detected;
determining the panda blood rims to be detected based on the node characteristics, wherein the panda blood rims to be detected are blood rims of the panda relatives to be detected in the donation history;
According to the coincidence of the panda blood rims to be detected and the one-dimensional genetic map data stream, carrying out data stream adjustment on the one-dimensional genetic map data stream based on the panda blood rims to be detected, wherein the one-dimensional genetic map data stream after data stream adjustment surrounds the panda blood rims to be detected;
and controlling the genetic map nodes to be drawn around the panda blood rims to be detected outside the panda blood rims to be detected according to the one-dimensional genetic map data stream adjusted by the data stream.
Further, the drawing the genetic map node in the family spectrum scene according to the custom genetic map data stream further includes:
drawing the genetic map nodes in the family spectrum scene according to the one-dimensional genetic map data stream and a genetic map drawing direction, wherein the genetic map drawing direction is determined based on the data stream moving trend of the data stream configuration operation;
the node input operation in the subgraph is configured according to the genetic map nodes, and after the input genetic map nodes are obtained, the method comprises the following steps:
and displaying the preview drawing effect of the genetic map nodes in the genetic map data flow configuration subgraph according to the node input operation and the custom genetic map data flow.
Further, the method further comprises the following steps:
and according to the received genetic map sending operation, and the panda to be detected currently has the disease genetic map potential value, sending genetic map data to a server, wherein the genetic map data comprises the custom genetic map data stream, the genetic map nodes, a donation history identifier currently displaying a donation history and an ID of the panda to be detected currently, and the server is used for forwarding the genetic map data to other genetic map drawing clients.
Those skilled in the art will appreciate that various modifications and improvements may occur to the nodes disclosed in the present disclosure. For example, the various devices or components described above may be implemented in hardware, or may be implemented in software, firmware, or a combination of some or all of the three.
A flowchart is used in this disclosure to describe the steps of a method according to an embodiment of the present disclosure. It should be understood that the steps that follow or before do not have to be performed in exact order. Rather, the various steps may be processed in reverse order or simultaneously. Also, other operations may be added to these processes.
Those of ordinary skill in the art will appreciate that all or a portion of the steps of the methods described above may be implemented by a computer program to instruct related hardware, and the program may be stored in a computer readable storage medium, such as a read only memory, a magnetic disk, or an optical disk. Alternatively, all or part of the steps of the above embodiments may be implemented using one or more integrated circuits. Accordingly, each module/unit in the above embodiment may be implemented in the form of hardware, or may be implemented in the form of a software functional module. The present disclosure is not limited to any specific form of combination of hardware and software.
Unless defined otherwise, all terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this disclosure pertains. It will be further understood that terms, such as those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
The foregoing is illustrative of the present disclosure and is not to be construed as limiting thereof. Although a few exemplary embodiments of this disclosure have been described, those skilled in the art will readily appreciate that many modifications are possible in the exemplary embodiments without materially departing from the novel teachings and advantages of this disclosure. Accordingly, all such modifications are intended to be included within the scope of this disclosure as defined in the claims. It is to be understood that the foregoing is illustrative of the present disclosure and is not to be construed as limited to the specific embodiments disclosed, and that modifications to the disclosed embodiments, as well as other embodiments, are intended to be included within the scope of the appended claims. The disclosure is defined by the claims and their equivalents.
In the description of the present specification, reference to the terms "one embodiment," "some embodiments," "illustrative embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
While embodiments of the present invention have been shown and described, it will be understood by those of ordinary skill in the art that: many changes, modifications, substitutions and variations may be made to the embodiments without departing from the spirit and principles of the invention, the scope of which is defined by the claims and their equivalents.
Claims (10)
1. A panda genetic map drawing method, characterized in that the method comprises the following steps:
drawing a disease genetic map configuration scene, wherein the disease genetic map configuration scene comprises a genetic map data flow configuration subgraph and a genetic map node configuration subgraph;
determining a custom genetic map data stream according to the data stream configuration operation in the genetic map data stream configuration subgraph;
acquiring input genetic map nodes according to node input operation in the genetic map node configuration subgraph;
and according to the received genetic map sending operation, and the panda to be detected currently has a disease genetic map potential value, drawing the genetic map nodes in a family spectrum scene according to the custom genetic map data stream, wherein the disease genetic map potential value is obtained by removing a preset number of non-genetic diseases from the panda to be detected currently.
2. The panda genetic map drawing method according to claim 1, wherein the disease genetic map configuration scene comprises a first genetic map configuration node and a second genetic map configuration node;
the determining the custom genetic map data stream according to the data stream configuration operation in the genetic map data stream configuration subgraph comprises the following steps:
determining a one-dimensional genetic map data stream based on data stream movement corresponding to the data stream configuration operation according to a mapping operation on the first genetic map configuration node and receiving the data stream configuration operation in the genetic map data stream configuration subgraph;
according to the mapping operation of the second genetic map configuration node, the data flow configuration operation in the genetic map data flow configuration sub-graph is received, and a multidimensional genetic map data flow is determined based on the data flow movement corresponding to the data flow configuration operation;
the custom genetic map data stream is the multidimensional genetic map data stream;
the step of drawing the genetic map nodes in the family spectrum scene according to the custom genetic map data stream, wherein the genetic map nodes are operated according to the received genetic map, and the panda to be detected currently has a disease genetic map potential value, and the step of drawing the genetic map nodes comprises the following steps:
According to the received genetic map sending operation, and the current panda to be detected has the disease genetic map potential value, identifying the relatives of the panda to be detected according to the donation history;
extracting the characteristics of the panda relative to be detected from the donation history according to the presence of the panda relative to be detected in the donation history, so as to obtain the node characteristics of the panda relative to be detected;
determining a panda subgraph to be detected based on the node characteristics, wherein the panda subgraph to be detected is a subgraph corresponding to the parent of the panda to be detected in the donation history;
and according to the superposition of the sub-graph of the panda to be detected and the multidimensional genetic map data stream, drawing the genetic map nodes around the relative of the panda to be detected according to the multidimensional genetic map data stream.
3. The panda genetic map drawing method according to claim 2, characterized in that the method further comprises:
according to the fact that the donation history does not contain the panda relatives to be detected or contains the panda relatives to be detected and no intersection point exists between the subgraph of the panda to be detected and the multidimensional genetic map data stream, drawing the genetic map nodes in the family spectrum scene according to the multidimensional genetic map data stream;
The drawing of the genetic map nodes in the family spectrum scene according to the custom genetic map data stream further comprises:
filling the genetic map nodes based on the data stream length of the multidimensional genetic map data stream and the node length of the genetic map nodes to obtain filled genetic map nodes;
drawing the filled genetic map nodes in the family spectrum scene according to the multidimensional genetic map data stream and a genetic map drawing direction, wherein the genetic map drawing direction is determined based on the data stream moving trend of the data stream configuration operation;
the custom genetic map data stream is the one-dimensional genetic map data stream;
the step of drawing the genetic map nodes in the family spectrum scene according to the custom genetic map data stream, wherein the genetic map nodes are operated according to the received genetic map, and the panda to be detected currently has a disease genetic map potential value, and the step of drawing the genetic map nodes comprises the following steps:
according to the received genetic map sending operation, and the current panda to be detected has the disease genetic map potential value, identifying the relatives of the panda to be detected according to the donation history;
extracting the characteristics of the panda relative to be detected from the donation history according to the presence of the panda relative to be detected in the donation history, so as to obtain the node characteristics of the panda relative to be detected;
Determining the panda blood rims to be detected based on the node characteristics, wherein the panda blood rims to be detected are blood rims of the panda relatives to be detected in the donation history;
according to the coincidence of the panda blood rims to be detected and the one-dimensional genetic map data stream, carrying out data stream adjustment on the one-dimensional genetic map data stream based on the panda blood rims to be detected, wherein the one-dimensional genetic map data stream after data stream adjustment surrounds the panda blood rims to be detected;
and controlling the genetic map nodes to be drawn around the panda blood rims to be detected outside the panda blood rims to be detected according to the one-dimensional genetic map data stream adjusted by the data stream.
4. A panda genetic map drawing method according to claim 3, wherein the drawing the genetic map nodes in the family scene according to the custom genetic map data stream further comprises:
drawing the genetic map nodes in the family spectrum scene according to the one-dimensional genetic map data stream and a genetic map drawing direction, wherein the genetic map drawing direction is determined based on the data stream moving trend of the data stream configuration operation;
The method comprises the steps of after the node input operation in the subgraph is configured according to the genetic map node and the input genetic map node is acquired:
and displaying the preview drawing effect of the genetic map nodes in the genetic map data flow configuration subgraph according to the node input operation and the custom genetic map data flow.
5. The panda genetic map drawing method according to claim 4, wherein the method further comprises:
and according to the received genetic map sending operation, and the panda to be detected currently has the disease genetic map potential value, sending genetic map data to a server, wherein the genetic map data comprises the custom genetic map data stream, the genetic map nodes, a donation history identifier currently displaying a donation history and an ID of the panda to be detected currently, and the server is used for forwarding the genetic map data to other genetic map drawing clients.
6. A panda genetic map drawing system, characterized by comprising:
the scene drawing module is used for drawing a disease genetic map configuration scene which comprises a genetic map data flow configuration subgraph and a genetic map node configuration subgraph;
The data flow determining module is used for determining a custom genetic map data flow according to the data flow configuration operation in the genetic map data flow configuration subgraph;
the node acquisition module is used for acquiring the input genetic map nodes according to the node input operation in the genetic map node configuration subgraph;
and the map drawing module is used for drawing the genetic map nodes in a family spectrum scene according to the received genetic map sending operation and the current panda to be detected with the genetic map potential value of the disease, wherein the genetic map potential value of the disease is obtained by removing a preset number of non-genetic diseases from the current panda to be detected.
7. The panda genetic map drawing system of claim 6, wherein the disease genetic map configuration scenario comprises a first genetic map configuration node and a second genetic map configuration node;
the determining the custom genetic map data stream according to the data stream configuration operation in the genetic map data stream configuration subgraph comprises the following steps:
determining a one-dimensional genetic map data stream based on data stream movement corresponding to the data stream configuration operation according to a mapping operation on the first genetic map configuration node and receiving the data stream configuration operation in the genetic map data stream configuration subgraph;
According to the mapping operation of the second genetic map configuration node, the data flow configuration operation in the genetic map data flow configuration sub-graph is received, and a multidimensional genetic map data flow is determined based on the data flow movement corresponding to the data flow configuration operation;
the custom genetic map data stream is the multidimensional genetic map data stream;
the step of drawing the genetic map nodes in the family spectrum scene according to the custom genetic map data stream, wherein the genetic map nodes are operated according to the received genetic map, and the panda to be detected currently has a disease genetic map potential value, and the step of drawing the genetic map nodes comprises the following steps:
according to the received genetic map sending operation, and the current panda to be detected has the disease genetic map potential value, identifying the relatives of the panda to be detected according to the donation history;
extracting the characteristics of the panda relative to be detected from the donation history according to the presence of the panda relative to be detected in the donation history, so as to obtain the node characteristics of the panda relative to be detected;
determining a panda subgraph to be detected based on the node characteristics, wherein the panda subgraph to be detected is a subgraph corresponding to the parent of the panda to be detected in the donation history;
And according to the superposition of the sub-graph of the panda to be detected and the multidimensional genetic map data stream, drawing the genetic map nodes around the relative of the panda to be detected according to the multidimensional genetic map data stream.
8. The panda genetic mapping system of claim 7, further comprising:
according to the fact that the donation history does not contain the panda relatives to be detected or contains the panda relatives to be detected and no intersection point exists between the subgraph of the panda to be detected and the multidimensional genetic map data stream, drawing the genetic map nodes in the family spectrum scene according to the multidimensional genetic map data stream;
the drawing of the genetic map nodes in the family spectrum scene according to the custom genetic map data stream further comprises:
filling the genetic map nodes based on the data stream length of the multidimensional genetic map data stream and the node length of the genetic map nodes to obtain filled genetic map nodes;
drawing the filled genetic map nodes in the family spectrum scene according to the multidimensional genetic map data stream and a genetic map drawing direction, wherein the genetic map drawing direction is determined based on the data stream moving trend of the data stream configuration operation;
The custom genetic map data stream is the one-dimensional genetic map data stream;
the step of drawing the genetic map nodes in the family spectrum scene according to the custom genetic map data stream, wherein the genetic map nodes are operated according to the received genetic map, and the panda to be detected currently has a disease genetic map potential value, and the step of drawing the genetic map nodes comprises the following steps:
according to the received genetic map sending operation, and the current panda to be detected has the disease genetic map potential value, identifying the relatives of the panda to be detected according to the donation history;
extracting the characteristics of the panda relative to be detected from the donation history according to the presence of the panda relative to be detected in the donation history, so as to obtain the node characteristics of the panda relative to be detected;
determining the panda blood rims to be detected based on the node characteristics, wherein the panda blood rims to be detected are blood rims of the panda relatives to be detected in the donation history;
according to the coincidence of the panda blood rims to be detected and the one-dimensional genetic map data stream, carrying out data stream adjustment on the one-dimensional genetic map data stream based on the panda blood rims to be detected, wherein the one-dimensional genetic map data stream after data stream adjustment surrounds the panda blood rims to be detected;
And controlling the genetic map nodes to be drawn around the panda blood rims to be detected outside the panda blood rims to be detected according to the one-dimensional genetic map data stream adjusted by the data stream.
9. The panda genetic map drawing system of claim 8, wherein the drawing the genetic map nodes in the family tree scene according to the custom genetic map data stream further comprises:
drawing the genetic map nodes in the family spectrum scene according to the one-dimensional genetic map data stream and a genetic map drawing direction, wherein the genetic map drawing direction is determined based on the data stream moving trend of the data stream configuration operation;
the node input operation in the subgraph is configured according to the genetic map nodes, and after the input genetic map nodes are obtained, the method comprises the following steps:
and displaying the preview drawing effect of the genetic map nodes in the genetic map data flow configuration subgraph according to the node input operation and the custom genetic map data flow.
10. The panda genetic mapping system of claim 9, further comprising:
And according to the received genetic map sending operation, and the panda to be detected currently has the disease genetic map potential value, sending genetic map data to a server, wherein the genetic map data comprises the custom genetic map data stream, the genetic map nodes, a donation history identifier currently displaying a donation history and an ID of the panda to be detected currently, and the server is used for forwarding the genetic map data to other genetic map drawing clients.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311717375.5A CN117409868B (en) | 2023-12-14 | 2023-12-14 | Panda genetic map drawing method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311717375.5A CN117409868B (en) | 2023-12-14 | 2023-12-14 | Panda genetic map drawing method and system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN117409868A true CN117409868A (en) | 2024-01-16 |
| CN117409868B CN117409868B (en) | 2024-02-20 |
Family
ID=89498358
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311717375.5A Active CN117409868B (en) | 2023-12-14 | 2023-12-14 | Panda genetic map drawing method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117409868B (en) |
Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101570789A (en) * | 2009-06-12 | 2009-11-04 | 华中农业大学 | Identification and application of pig MHC II TA gene as immunity related molecular labels |
| CA2878134A1 (en) * | 2012-07-06 | 2014-01-09 | National Institute Of Agrobiological Sciences | Wheat with increased number of grains and method for producing the same, and agent for increasing the number of wheat grains |
| CN105123621A (en) * | 2015-10-22 | 2015-12-09 | 西南大学 | Establishment method of goat resource population |
| CN109310332A (en) * | 2016-04-07 | 2019-02-05 | 怀特安维创新有限责任公司 | Method for analyzing numerical data |
| CN111676270A (en) * | 2020-07-09 | 2020-09-18 | 四川省自然资源科学研究院 | Method for screening polymorphic SNP molecular marker, polymorphic SNP molecular marker and primer pair |
| CN112352283A (en) * | 2018-06-29 | 2021-02-09 | 皇家飞利浦有限公司 | Method and device for establishing pedigree for specific disease based on pedigree |
| CN112881580A (en) * | 2021-01-12 | 2021-06-01 | 成都大熊猫繁育研究基地 | Online detection method for content of short-chain fatty acids in panda feces based on gas chromatography |
| CN113215267A (en) * | 2021-04-20 | 2021-08-06 | 成都大熊猫繁育研究基地 | SNP primer set for panda individual identification and paternity test and application |
| CN113987350A (en) * | 2021-10-28 | 2022-01-28 | 建信金融科技有限责任公司 | Resource recommendation method and device |
| CN115521972A (en) * | 2022-10-19 | 2022-12-27 | 成都大熊猫繁育研究基地 | Panda excrement sample nucleic acid preservation solution and preparation method thereof |
| WO2023277932A1 (en) * | 2021-06-28 | 2023-01-05 | Tempus Labs, Inc. | Detection of human leukocyte antigen loss of heterozygosity |
| CN117010699A (en) * | 2023-05-25 | 2023-11-07 | 中国林业科学研究院生态保护与修复研究所 | Digital management system and method for panda breeding full life cycle |
-
2023
- 2023-12-14 CN CN202311717375.5A patent/CN117409868B/en active Active
Patent Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101570789A (en) * | 2009-06-12 | 2009-11-04 | 华中农业大学 | Identification and application of pig MHC II TA gene as immunity related molecular labels |
| CA2878134A1 (en) * | 2012-07-06 | 2014-01-09 | National Institute Of Agrobiological Sciences | Wheat with increased number of grains and method for producing the same, and agent for increasing the number of wheat grains |
| CN105123621A (en) * | 2015-10-22 | 2015-12-09 | 西南大学 | Establishment method of goat resource population |
| CN109310332A (en) * | 2016-04-07 | 2019-02-05 | 怀特安维创新有限责任公司 | Method for analyzing numerical data |
| CN112352283A (en) * | 2018-06-29 | 2021-02-09 | 皇家飞利浦有限公司 | Method and device for establishing pedigree for specific disease based on pedigree |
| CN111676270A (en) * | 2020-07-09 | 2020-09-18 | 四川省自然资源科学研究院 | Method for screening polymorphic SNP molecular marker, polymorphic SNP molecular marker and primer pair |
| CN112881580A (en) * | 2021-01-12 | 2021-06-01 | 成都大熊猫繁育研究基地 | Online detection method for content of short-chain fatty acids in panda feces based on gas chromatography |
| CN113215267A (en) * | 2021-04-20 | 2021-08-06 | 成都大熊猫繁育研究基地 | SNP primer set for panda individual identification and paternity test and application |
| WO2023277932A1 (en) * | 2021-06-28 | 2023-01-05 | Tempus Labs, Inc. | Detection of human leukocyte antigen loss of heterozygosity |
| CN113987350A (en) * | 2021-10-28 | 2022-01-28 | 建信金融科技有限责任公司 | Resource recommendation method and device |
| CN115521972A (en) * | 2022-10-19 | 2022-12-27 | 成都大熊猫繁育研究基地 | Panda excrement sample nucleic acid preservation solution and preparation method thereof |
| CN117010699A (en) * | 2023-05-25 | 2023-11-07 | 中国林业科学研究院生态保护与修复研究所 | Digital management system and method for panda breeding full life cycle |
Non-Patent Citations (4)
| Title |
|---|
| YAN LI等: "An improved, chromosome-level genome of the giant panda (Ailuropoda melanoleuca)", 《GENOMICS》, vol. 114, no. 6, pages 110501 * |
| YIBO HU等: "Spatial genetic structure and dispersal of giant pandas on a mountain-range scale", 《CONSERVATION GENETICS》, vol. 11, pages 2145, XP019857173, DOI: 10.1007/s10592-010-0100-1 * |
| 寇洁等: "大熊猫遗传多样性评估的微卫星分型体系优化", 《遗传》, vol. 44, no. 03, pages 253 - 275 * |
| 郑桦锐等: "大熊猫的分子遗传学研究现状", 《四川动物》, no. 04, pages 227 - 229 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN117409868B (en) | 2024-02-20 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| EP3824383B1 (en) | Systems and methods for facilitating clinical messaging in a network environment | |
| CN100367702C (en) | Method for analysing binary data, system and computer product thereof | |
| CN102426609B (en) | Index generation method and index generation device based on MapReduce programming architecture | |
| US8234240B2 (en) | Framework for providing metrics from any datasource | |
| CN102656584B (en) | universal medical device driver adapter | |
| US9098490B2 (en) | Genetic information management system and method | |
| CN109460220B (en) | Message predefined code generation method and device, electronic equipment and storage medium | |
| KR100845234B1 (en) | Apparatus and method for parsing domain profile in software communication architecture | |
| CN105989160A (en) | Memory data persistence method and apparatus for Redis database | |
| MX2008012378A (en) | Policy based message aggregation framework. | |
| CN101326519B (en) | Method for loading xml documents into memory | |
| CN112530600A (en) | Infectious disease tracing method and device, electronic equipment and storage medium | |
| US9262241B2 (en) | Computer system, computer-implemented method and computer program product for sequencing incoming messages for processing at an application | |
| CN108804699A (en) | Family tree recording method, device and electronic equipment based on block chain | |
| CN107515866B (en) | Data operation method, device and system | |
| CN117409868B (en) | Panda genetic map drawing method and system | |
| CN112905636A (en) | Data manipulation method, server, and computer-readable medium | |
| US20220359038A1 (en) | Systems and Methods for the Efficient Identification and Extraction of Sequence Paths in Genome Graphs | |
| KR20150145327A (en) | System and Method for mapping an identifier with a locator using a bloom filter | |
| CN113326403A (en) | Flowchart rendering method and device, electronic equipment and medium | |
| JP2016177347A (en) | Database system | |
| EP4235579A1 (en) | Decoding method, decoding device, and program | |
| Liu et al. | A Periodic West Nile Virus Transmission Model with Stage‐Structured Host Population | |
| US20090164413A1 (en) | Generic table structure to xml structure mapping | |
| US20220342906A1 (en) | System and Method of Immutable Electronic Health Record Data Storage |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |