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http://krishi.icar.gov.in/jspui/handle/123456789/5840Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Samarendra Das | en_US |
| dc.contributor.author | Anil Rai, | en_US |
| dc.contributor.author | Dwijesh C. Mishra | en_US |
| dc.contributor.author | Shesh N. Rai | en_US |
| dc.date.accessioned | 2018-02-21T16:36:18Z | - |
| dc.date.available | 2018-02-21T16:36:18Z | - |
| dc.date.issued | 2018-02-05 | - |
| dc.identifier.citation | Not Available | en_US |
| dc.identifier.issn | Not Available | - |
| dc.identifier.uri | http://krishi.icar.gov.in/jspui/handle/123456789/5840 | - |
| dc.description | Not Available | en_US |
| dc.description.abstract | The analysis of gene sets is usually carried out based on gene ontology terms and known biological pathways. These approaches may not establish any formal relation between genotype and trait specific phenotype. In plant biology and breeding, analysis of gene sets with trait specific Quantitative Trait Loci (QTL) data are considered as great source for biological knowledge discovery. Therefore, we proposed an innovative statistical approach called Gene Set Analysis with QTLs (GSAQ) for interpreting gene expression data in context of gene sets with traits. The utility of GSAQ was studied on five different complex abiotic and biotic stress scenarios in rice, which yields specific trait/stress enriched gene sets. | en_US |
| dc.description.sponsorship | Not Available | en_US |
| dc.language.iso | English | en_US |
| dc.publisher | Macmillan Publishers Limited, part of Springer Nature | en_US |
| dc.relation.ispartofseries | Not Available; | - |
| dc.subject | QTL | en_US |
| dc.subject | Gene set analysis | en_US |
| dc.subject | GSAQ | en_US |
| dc.title | Statistical approach for gene set analysis with trait specific quantitative trait loci | en_US |
| dc.title.alternative | Not Available | en_US |
| dc.type | Research Paper | en_US |
| dc.publication.projectcode | Not Available | en_US |
| dc.publication.journalname | Scientific Reports | en_US |
| dc.publication.volumeno | 8 | en_US |
| dc.publication.pagenumber | Not Available | en_US |
| dc.publication.divisionUnit | Not Available | en_US |
| dc.publication.sourceUrl | https://www.nature.com/articles/s41598-018-19736-w | en_US |
| dc.publication.sourceUrl | 10.1038/s41598-018-19736-w | en_US |
| dc.publication.authorAffiliation | ICAR::Indian Agricultural Statistics Research Institute | en_US |
| dc.publication.authorAffiliation | JG Brown Cancer Center and Department of Bioinformatics and Biostatistics, University of Louisville, Louisville | en_US |
| dc.ICARdataUseLicence | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf | en_US |
| dc.publication.naasrating | 10 | - |
| Appears in Collections: | AEdu-IASRI-Publication | |
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