Statistical approach for gene set analysis with trait specific quantitative trait loci
KRISHI: Publication and Data Inventory Repository
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Title |
Statistical approach for gene set analysis with trait specific quantitative trait loci
Not Available |
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Creator |
Samarendra Das
Anil Rai, Dwijesh C. Mishra Shesh N. Rai |
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Subject |
QTL
Gene set analysis GSAQ |
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Description |
Not Available
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. Not Available |
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Date |
2018-02-21T16:36:18Z
2018-02-21T16:36:18Z 2018-02-05 |
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Type |
Research Paper
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Identifier |
Not Available
Not Available http://krishi.icar.gov.in/jspui/handle/123456789/5840 |
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Language |
English
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Relation |
Not Available;
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Publisher |
Macmillan Publishers Limited, part of Springer Nature
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