CN109686405A - The method of the potential important gene screening of group's genome based on MK-test - Google Patents
The method of the potential important gene screening of group's genome based on MK-test Download PDFInfo
- Publication number
- CN109686405A CN109686405A CN201811317063.4A CN201811317063A CN109686405A CN 109686405 A CN109686405 A CN 109686405A CN 201811317063 A CN201811317063 A CN 201811317063A CN 109686405 A CN109686405 A CN 109686405A
- Authority
- CN
- China
- Prior art keywords
- gene
- group
- test
- potential important
- genome
- 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
Abstract
The present invention provides the method for the potential important gene screening of group's genome based on MK-test, belongs to genescreen technical field, comprising: 1) construct gene interaction network；2) gene parameter is inputted using processing module acquisition and/or on demand；3) the gene parameter is filtered out into the potential important gene of group's genome by aberration rate in output inter-species after modular formula operation and/or species；4) the potential important gene is subjected to functional selection；Wherein processing module includes at least two genetic chips, the computer connecting with genetic chip.The present invention can high-volume simultaneously between existing difference analysis species or in species, non-express section of ratio can be effectively analyzed after operation and/or expresses the trend that section ratio changes with the variation of gene, provide an effective approach for the potential important gene screening of group's genome.
Description
Technical field
The present invention relates to genescreen technical fields, potential important more particularly, to group's genome based on MK-test
The method of genescreen.
Background technique
Molecular population genetics are the pillar subject and genetic breeding and about heredity of contemporary evolution biology research
The basic theory subject of association mapping and linkage analysis.Molecular population genetics are developed on the basis of classical population genetic
Get up, it is mainly the Variation pattern of DNA sequence dna using macromolecular to study the genetic structure of group and causes population genetic
The factor of variation and the relationship of population genetic variations, so that geneticist can accurately deduce group in quantity
It evolves and develops, not only overcome the limitation that classical Population Genetics is typically only capable to research population genetic variations short term variations,
And it can examine in the past about long-term evolution or the degree of reliability of genetic system stability inference.Meanwhile to molecular order in group
The research of column Variation pattern also makes people start to examine the Darwinian theory of evolution with " natural selection " for core closely again.It arrives
So far, molecular population genetics have been achieved with significant progress, illustrate many important problem in science, such as some heavy
Want the DNA polymorphism styles of crops, the linkage disequilibrium horizontal and its influence factor, the transition history of population, gene evolution
Science of heredity power etc., it is even more important that the emerging subject such as molecule set up on the basis of molecular population genetics
Systematic geography etc. is also rapidly developed.
The Research foundation of molecular population genetics is mutant dna sequence.The genetic variation and genetic differentiation degree of homologous DNA sequence is weighing apparatus
The main indicator of population genetic variations is measured, differentiation style is then the evolution inherence for understanding population genetic variations and generating and maintaining
The premise of driving force such as genetic mutation, recombination, transcription frequency.As DNA sequencing is more and more fast convenient and molecular biology
The sequencing result of the rapid development of technology, more and more whole genome sequences or gene order is published, and gene is in species
Or the DNA polymorphism style in group is also elucidated with more and more.Currently, in the world, plant molecular Population Genetics is ground
Study carefully in the ascendant, at home, also starts to arouse attention.With plant rice, arabidopsis, poplar genome sequencing it is complete
At, and more cereal crops, industrial crops, the portion gene group sequencing result of important forest species and est sequence are sent out
Table.People are to the DNA polymorphisms of these species, linkage disequilibrium is horizontal, genome or Individual genes evolution motive force
The Population Genetics such as population dynamic and migration history problem of interest has certain understanding in amount, species, but also not nearly enough
It is deeply and thorough.Carry out the molecular population genetics and molecule of the plant group of the distinctive tool exemplary distribution pattern in China in a deep going way
The research of systematic geography, this for understand the history of the origins of China's plant species, differentiation and distribution transition have it is important
Meaning.China is one of origin and domestication center of many important crops and industrial crops simultaneously, understands cultivated species in depth
And its DNA polymorphism and distribution mode of Wild related germplasm, it can be the species child care in China, excavation of important gene, wild
Sustainable use of domesticating and cultivating, molecular breeding and plant resources of species etc. provides theoretical direction.Therefore, screen and explore
The potential important gene of group's genome has great importance to plant research.
Plant function genescreen technology and methods mainly have expressed sequence tagging method, inhibition subtractive hybridization technique,
Biochip technology, proteomic techniques, FOX huntingsystem technology etc., these methods cannot be in mode species
In generate mutant and cell on a large scale, it is opposite, can also obtain the phenotypic information for covering various mutations resource, publication exists
In network data base.But the heavy workload that these methods screen the potential important gene of group's genome, it not can determine that plant
The function of middle individual gene.It is, thus, sought for a kind of screening technique that serial species can be handled, for screening
The potential important gene of group's genome.
Summary of the invention
The purpose of the present invention is to provide the method for the potential important gene screening of group's genome based on MK-test, solutions
High-volume of having determined simultaneously between existing difference analysis species or in species, can effectively analyze non-express section of ratio and/
Or the trend that expression section ratio changes with the variation of gene, providing one for the potential important gene screening of group's genome has
The approach of effect.
The technical solution that the present invention is taken to achieve the above object are as follows:
The method of the potential important gene screening of group's genome based on MK-test, comprising:
1) gene interaction network is constructed；
2) gene parameter is inputted using processing module acquisition and/or on demand；
3) gene parameter is filtered out into group by aberration rate in output inter-species after modular formula operation and/or species
The potential important gene of genome；
4) potential important gene is subjected to functional selection；
Above-mentioned processing module includes at least two genetic chips, the computer connecting with genetic chip.
By accurately calculating gene parameter, can high-volume simultaneously between existing difference analysis, energy species or in species
Access probability, the nucleotide that nucleotide occurs at random in next gene becomes the frequency of different nucleotide in next gene
Rate etc., can effectively be analyzed after operation non-express section of ratio and/or expression section ratio with the variation of gene becoming for changing
Gesture provides an effective approach for the potential important gene screening of group's genome, simultaneouslyVariation is to turn
It changes,For transversion, when calculating, these two types variation should be calculated separately, degenerate codon
Nucleotide diversity between (coding same amino acid) is synonymous variation, other to make a variation for contrary opinion, is evolved in detailed analysis code area
When, their also classified calculatings.
For optimize above-mentioned technical proposal, the measure taken further include: said gene parameter contains: species, group's gene,
Difference few nucleotide, gene total nucleotide number between gene.
The specific steps of above-mentioned building gene interaction network are as follows: from BioGRID, IntAct, DIP, MINT and
Interaction of genes data are collected in STRING database, and separate the interaction data of target plant, establish corresponding database.
Above-mentioned operation carries out operation to group's gene using MK-test.MK-test is having for abstraction sequence variation tendency
Effect tool is the nonparametric technique based on order, does not require analyzed data to obey a certain probability distribution, not by individual exceptions
The interference of value can objectively characterize the overall variation trend of sample sequence, and its trend-monitoring ability and parameter trend detect
Method is identical, can effectively analyze non-express section of ratio and/or express the trend that section ratio changes with the variation of gene,
An effective approach is provided for the potential important gene screening of group's genome.
Modular formula used in above-mentioned MK-test is as follows:
If a stable independent sequence xt(x1,…,xn), statistical variable S such as following formula:
In formula: χ j and χ k are respectively difference few nucleotide between jth group and the gene of kth group, and j > k, n are serial
Record length (number)；Sgn (χ j- χ k) is characterization function:
In formula: S is normal distribution, and the variance of mean value 0, S can be calculated by following formula:
In formula: t is the range of any given node；∑ t be all nodes and；
As n > 10, the normal state statistical variable z of standard is calculate by the following formula:
In this way, in bilateral trend test, in the case where given α sets work level, if | zs|≥z(1-α/2), then refuse nothing
Trend it is assumed that i.e. think in sequence xtIt is middle to there is apparent rising or downward trend；Otherwise receiving sequence；xtIt is neutral
It is assumed that Z(1-α/2)The value of standardized normal distribution when be probability being more than 1- α/2, so analysis of nucleotide in next gene with
Probability, the nucleotide of machine appearance become the frequency of different nucleotide in next gene.
Above-mentioned functional selection are as follows: analyze potential important gene and related function using functional full-length genome associated data
Correlation degree between energy property gene.
Wherein, functional selection method particularly includes: obtain with functional full-length genome associated data, then to each latent
Random permutation is carried out in the correlation function phenotypic data of important gene, the p of each SNP is calculated with the MLM model of tassel software
Value, then count in each netic module with the significantly associated SNP ratio of related functionality, permutation test, analysis netic module with
Correlation degree between target functionality.
Above-mentioned be significantly associated with target functionality refers to p < 0.05.
Said gene chip is cDNA chip.
Said gene chip is used to provide the functionality of group's gene or the potential important gene of identification.
Compared with prior art, the invention has the benefit that the present invention is by accurately calculating species, group's gene, base
The genes parameter such as difference few nucleotide, gene total nucleotide number because between, can high-volume simultaneously between existing species or in species
Difference analysis, can obtain probability, nucleotide that nucleotide occurs at random in next gene becomes not in next gene
Non-express section of ratio can be effectively analyzed with the frequency etc. of nucleotide, after operation and/or expresses section ratio with the variation of gene
And the trend changed, an effective approach is provided for the potential important gene screening of group's genome.
Present invention employs above-mentioned technical proposals to provide group's genome based on MK-test potential important gene screening
Method, compensate for the deficiencies in the prior art, reasonable design, easy operation.
Specific embodiment
The exemplary embodiments for embodying inventive features and advantage will describe in detail in the following description.It should be understood that this
Invention can have various variations in different embodiments, neither depart from the scope of the present invention, and description therein exists
It is substantially to be illustrated as being used, rather than to limit the present invention.
An embodiment of the present invention provides the method for the potential important gene screening of group's genome based on MK-test,
Include:
1) gene interaction network is constructed；
2) gene parameter is inputted using processing module acquisition and/or on demand；
3) gene parameter is filtered out into group by aberration rate in output inter-species after modular formula operation and/or species
The potential important gene of genome；
4) potential important gene is subjected to functional selection；
Above-mentioned processing module includes at least two genetic chips, the computer connecting with genetic chip.
By accurately calculating gene parameter, can high-volume simultaneously between existing difference analysis, energy species or in species
Access probability, the nucleotide that nucleotide occurs at random in next gene becomes the frequency of different nucleotide in next gene
Rate etc., can effectively be analyzed after operation non-express section of ratio and/or expression section ratio with the variation of gene becoming for changing
Gesture provides an effective approach for the potential important gene screening of group's genome, simultaneouslyVariation is to turn
It changes,For transversion, when calculating, these two types variation should be calculated separately, degenerate codon
Nucleotide diversity between (coding same amino acid) is synonymous variation, other to make a variation for contrary opinion, is evolved in detailed analysis code area
When, their also classified calculatings.
In an embodiment of the present invention, is obtained using processing module and/or input gene parameter on demand, wherein gene
Parameter contains: difference few nucleotide, gene total nucleotide number between species, group's gene, gene.
In an embodiment of the present invention, in above-mentioned building gene interaction network step, it is mutual to obtain building gene
The method for acting on network is unrestricted.As a preferred embodiment, it in order to simplify the method for constructing gene interaction network, mentions
The efficiency and accuracy of high screening technique, construct gene interaction network specific steps are as follows: can from BioGRID,
The microarray data of group's genome needed for being obtained in IntAct, DIP, MINT and STRING database, and un-mixing bases are because mutually
Make data, establishes corresponding database.
In an embodiment of the present invention, operation carries out operation to group's gene using MK-test.MK-test is to extract
The effective tool of sequence variation trend is the nonparametric technique based on order, and analyzed data is not required to obey a certain probability point
Cloth can objectively characterize the overall variation trend of sample sequence, and its trend-monitoring energy not by the interference of individual exceptional values
Power is identical as parameter trend detection method, can effectively analyze non-express section of ratio and/or express section ratio with the change of gene
The trend changed and changed provides an effective approach for the potential important gene screening of group's genome.
In an embodiment of the present invention, modular formula used in MK-test is as follows:
If a stable independent sequence xt(x1,…,xn), statistical variable S such as following formula:
In formula: χ j and χ k are respectively difference few nucleotide between jth group and the gene of kth group, and j > k, n are serial
Record length (number)；Sgn (χ j- χ k) is characterization function:
In formula: S is normal distribution, and the variance of mean value 0, S can be calculated by following formula:
In formula: t is the range of any given node；∑ t be all nodes and；
As n > 10, the normal state statistical variable z of standard is calculate by the following formula:
In this way, in bilateral trend test, in the case where given α sets work level, if | zs|≥z(1-α/2), then refuse nothing
Trend it is assumed that i.e. think in sequence xtIt is middle to there is apparent rising or downward trend；Otherwise receiving sequence；xtIt is neutral
It is assumed that Z(1-α/2)The value of standardized normal distribution when be probability being more than 1- α/2, so analysis of nucleotide in next gene with
Probability, the nucleotide of machine appearance become the frequency of different nucleotide in next gene.
In an embodiment of the present invention, functional selection are as follows: analyzed using functional full-length genome associated data potential
Correlation degree between important gene and related functionality gene.As a preferred embodiment, the specific method of functional selection
Are as follows: acquisition and functional full-length genome associated data from Gramene database, then to the correlation of each potential important gene
Function phenotypic data carries out random permutation, and the p value of each SNP is calculated with the MLM model of tassel software, then counts each gene
With the significantly associated SNP ratio of related functionality in module, permutation test analyzed between netic module and target functionality
Correlation degree.
In an embodiment of the present invention, significantly it is associated with target functionality and refers to p < 0.05.
In an embodiment of the present invention, genetic chip is cDNA chip.
In an embodiment of the present invention, genetic chip for providing group's gene or the potential important gene of identification
It is functional.As a preferred embodiment, from the GEO database and EBI of NCBI (http://www.ncbi.nlm.nih.gov/)
Downloading obtains group's gene or potential important base in the ArrayExpress database of (http://www.ebi.ac.uk/)
The microarray data of the related functionality of cause, wherein the microarray data of the related functionality of potential important gene needs to use
RMAE xpress software uniforms chip data, using SAM software package (http: //
Statweb.stanford.edu/~tibs/SAM/) calculate target plant drought stress response gene, utilize using accumulation
Hypergeometric distribution carries out significance analysis rich in drought stress response gene to netic module, determines required related functionality
Gene.
Present invention is further described in detail with reference to embodiments:
Embodiment 1:
The method of the potential important gene screening of group's genome based on MK-test, comprising:
1) it constructs gene interaction network: being collected from BioGRID, IntAct, DIP, MINT and STRING database
Interaction of genes data, and the interaction data of target plant are separated, establish corresponding database；
2) it obtains using processing module and/or inputs gene parameter on demand, wherein processing module includes at least two gene cores
Piece, the computer being connect with genetic chip；Gene parameter contains: difference few nucleotide, gene between species, group's gene, gene
Total nucleotide number；
3) gene parameter is filtered out into group by aberration rate in output inter-species after modular formula operation and/or species
The potential important gene of genome；
4) potential important gene is subjected to functional selection；
Above-mentioned operation carries out operation to group's gene using MK-test, and modular formula used in MK-test is as follows:
If a stable independent sequence xt(x1,…,xn), statistical variable S such as following formula:
In formula: χ j and χ k are respectively difference few nucleotide between jth group and the gene of kth group, and j > k, n are serial
Record length (number)；Sgn (χ j- χ k) is characterization function:
In formula: S is normal distribution, and the variance of mean value 0, S can be calculated by following formula:
In formula: t is the range of any given node；∑ t be all nodes and；
As n > 10, the normal state statistical variable z of standard is calculate by the following formula:
In this way, in bilateral trend test, in the case where given α sets work level, if | zs|≥z(1-α/2), then refuse nothing
Trend it is assumed that i.e. think in sequence xtIt is middle to there is apparent rising or downward trend；Otherwise receiving sequence；xtIt is neutral
It is assumed that Z(1-α/2)The value of standardized normal distribution when be probability being more than 1- α/2, so analysis of nucleotide in next gene with
Probability, the nucleotide of machine appearance become the frequency of different nucleotide in next gene.
Above-mentioned functional selection are as follows: analyze potential important gene and related function using functional full-length genome associated data
Correlation degree between energy property gene, method particularly includes: acquisition and functional full-length genome associated data, then to each latent
Random permutation is carried out in the correlation function phenotypic data of important gene, the p of each SNP is calculated with the MLM model of tassel software
Value, then count in each netic module with the significantly associated SNP ratio of related functionality, permutation test, analysis netic module with
Correlation degree between target functionality, is significantly associated with target functionality and refers to p < 0.05.
Said gene chip is cDNA chip；For providing the functionality of group's gene or the potential important gene of identification.
The above embodiments are only used to illustrate the present invention, and not limitation of the present invention, the ordinary skill people of this field
Member can also make a variety of changes and modification without departing from the spirit and scope of the present invention.Therefore, all equivalent
Technical solution also belong to scope of the invention, scope of patent protection of the invention should be defined by the claims.
Claims (10)
1. the method for the potential important gene screening of group's genome based on MK-test, it is characterised in that: include:
1) gene interaction network is constructed；
2) gene parameter is inputted using processing module acquisition and/or on demand；
3) the gene parameter is filtered out into group by aberration rate in output inter-species after modular formula operation and/or species
The potential important gene of body genome；
4) the potential important gene is subjected to functional selection；
The processing module includes at least two genetic chips, the computer connecting with genetic chip.
2. the method for the potential important gene screening of group's genome according to claim 1 based on MK-test, feature
Be: the gene parameter contains: difference few nucleotide, gene total nucleotide number between species, group's gene, gene.
3. the method for the potential important gene screening of group's genome according to claim 1 based on MK-test, feature
It is: the specific steps of the building gene interaction network are as follows: from BioGRID, IntAct, DIP, MINT and STRING
Interaction of genes data are collected in database, and separate the interaction data of target plant, establish corresponding database.
4. the method for the potential important gene screening of group's genome according to claim 1 based on MK-test, feature
Be: the operation carries out operation to group's gene using MK-test.
5. the method for the potential important gene screening of group's genome according to claim 1 based on MK-test, feature
Be: modular formula used in the MK-test is as follows:
If a stable independent sequence xt(x1,…,xn), statistical variable S such as following formula:
In formula: χ j and χ k are respectively difference few nucleotide between jth group and the gene of kth group, and j > k, n are that the record of series is long
It spends (number)；The sgn (χ j- χ k) is characterization function:
In formula: S is normal distribution, and the variance of mean value 0, S can be calculated by following formula:
In formula: t is the range of any given node；∑ t be all nodes and；
As n > 10, the normal state statistical variable z of standard is calculate by the following formula:
6. the method for the potential important gene screening of group's genome according to claim 1 based on MK-test, feature
It is: the functional selection are as follows: analyze potential important gene and correlation function using functional full-length genome associated data
Correlation degree between property gene.
7. the method for the potential important gene screening of group's genome according to claim 1 based on MK-test, feature
It is: the functional selection method particularly includes: acquisition and functional full-length genome associated data, then to each potential heavy
It wants the correlation function phenotypic data of gene to carry out random permutation, the p value of each SNP is calculated with the MLM model of tassel software, then
It counts with the significantly associated SNP ratio of related functionality in each netic module, permutation test analyzes netic module and objective function
Correlation degree between property.
8. the method for the potential important gene screening of group's genome according to claim 7 based on MK-test, feature
Be: described be significantly associated with target functionality refers to p < 0.05.
9. the method for the potential important gene screening of group's genome according to claim 1 based on MK-test, feature
Be: the genetic chip is cDNA chip.
10. the method for the potential important gene screening of group's genome according to claim 1 based on MK-test, special
Sign is: the genetic chip is used to provide the functionality of group's gene or the potential important gene of identification.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811317063.4A CN109686405B (en) | 2018-11-07 | 2018-11-07 | Method for screening potential important genes of group genome based on MK-test |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811317063.4A CN109686405B (en) | 2018-11-07 | 2018-11-07 | Method for screening potential important genes of group genome based on MK-test |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN109686405A true CN109686405A (en) | 2019-04-26 |
| CN109686405B CN109686405B (en) | 2022-06-28 |
Family
ID=66185300
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811317063.4A Active CN109686405B (en) | 2018-11-07 | 2018-11-07 | Method for screening potential important genes of group genome based on MK-test |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109686405B (en) |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20030015424A1 (en) * | 2001-07-18 | 2003-01-23 | Milan Minarik | Method for automated isolation of fractions in multichannel separation systems |
| US20060068428A1 (en) * | 2003-11-03 | 2006-03-30 | Duke University | Identification of genetic markers associated with parkinson disease |
| CN103699812A (en) * | 2013-11-29 | 2014-04-02 | 北京市农林科学院 | Plant variety authenticity authenticating site screening method based on genetic algorithm |
| CN105279396A (en) * | 2015-10-23 | 2016-01-27 | 上海交通大学 | Excavation method of plant drought-tolerant gene module |
| GB201711528D0 (en) * | 2017-07-18 | 2017-08-30 | Congenica Ltd | Prenatal screening and diagnostic system and method |
| CN107437004A (en) * | 2017-08-07 | 2017-12-05 | 深圳华大基因研究院 | A kind of system intelligently understood for tumour individuation genetic test |
-
2018
- 2018-11-07 CN CN201811317063.4A patent/CN109686405B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20030015424A1 (en) * | 2001-07-18 | 2003-01-23 | Milan Minarik | Method for automated isolation of fractions in multichannel separation systems |
| US20060068428A1 (en) * | 2003-11-03 | 2006-03-30 | Duke University | Identification of genetic markers associated with parkinson disease |
| CN103699812A (en) * | 2013-11-29 | 2014-04-02 | 北京市农林科学院 | Plant variety authenticity authenticating site screening method based on genetic algorithm |
| CN105279396A (en) * | 2015-10-23 | 2016-01-27 | 上海交通大学 | Excavation method of plant drought-tolerant gene module |
| GB201711528D0 (en) * | 2017-07-18 | 2017-08-30 | Congenica Ltd | Prenatal screening and diagnostic system and method |
| CN107437004A (en) * | 2017-08-07 | 2017-12-05 | 深圳华大基因研究院 | A kind of system intelligently understood for tumour individuation genetic test |
Non-Patent Citations (2)
| Title |
|---|
| FRANCISCO E. BARALLE 等: "Alternative splicing as a regulator of development and tissue identity", 《NATURE REVIEWS MOLECULAR CELL BIOLOGY》 * |
| PHILIPP W. MESSE等: "Frequent adaptation and the McDonald–Kreitman tes", 《PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA》 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN109686405B (en) | 2022-06-28 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Varshney et al. | Designing future crops: genomics-assisted breeding comes of age | |
| Tibbs Cortes et al. | Status and prospects of genome‐wide association studies in plants | |
| Zhang et al. | Assembly of allele-aware, chromosomal-scale autopolyploid genomes based on Hi-C data | |
| Huang et al. | MAGIC populations in crops: current status and future prospects | |
| Han et al. | Sequencing-based genome-wide association study in rice | |
| Conesa et al. | Blast2GO: a comprehensive suite for functional analysis in plant genomics | |
| Hansen et al. | Identifying the molecular basis of QTLs: eQTLs add a new dimension | |
| Varshney et al. | Genomics-assisted breeding for crop improvement | |
| EP2250595B1 (en) | Method of selecting an optimized diverse population of variants | |
| Greenbaum et al. | Inference and analysis of population structure using genetic data and network theory | |
| US20110034342A1 (en) | Method of generating an optimized, diverse population of variants | |
| CN108319984B (en) | The construction method and prediction technique of xylophyta leaf morphology feature and photosynthesis characteristics prediction model based on DNA methylation level | |
| Li | Systems genetics in “-omics” era: current and future development | |
| Julca et al. | Toward kingdom-wide analyses of gene expression | |
| Zhang et al. | Integration of multi-omics technologies for crop improvement: status and prospects | |
| Kliebenstein | Exploring the shallow end; estimating information content in transcriptomics studies | |
| CN109762922A (en) | SNP marker and its screening technique for Germplasm Resources on Phaseolus Vulgaris identification | |
| CN105279396B (en) | The Drought-resistant gene of plant module method of excavation | |
| CN109686405A (en) | The method of the potential important gene screening of group's genome based on MK-test | |
| Xia et al. | Development and application of rose (Rosa chinensis Jacq.) SNP markers based on SLAF-seq technology | |
| Wei et al. | Genetic diversity, population structure, and association mapping of 10 agronomic traits in sesame | |
| Chakraborty et al. | Genome wide analysis of meiotic recombination in yeast: For a few SNPs more | |
| Xing et al. | Coexpression network revealing the plasticity and robustness of population transcriptome during the initial stage of domesticating energy crop Miscanthus lutarioriparius | |
| Machado et al. | On the usefulness of mock genomes to define heterotic pools, testers, and hybrid predictions in orphan crops | |
| Peter et al. | Extensive simulations assess the performance of genome-wide association mapping in various Saccharomyces cerevisiae subpopulations |
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 |