Statistical Approach of Gene Set Analysis with Quantitative Trait Loci for Crop Gene Expression Studies.

ABSTRACT: Genome-wide expression study is a powerful genomic technology to quantify expression dynamics of genes in a genome. In gene expression study, gene set analysis has become the first choice to gain insights into the underlying biology of diseases or stresses in plants. It also reduces the complexity of statistical analysis and enhances the explanatory power of the obtained results from the primary downstream differential expression analysis. The gene set analysis approaches are well developed in microarrays and RNA-seq gene expression data analysis. These approaches mainly focus on analyzing the gene sets with gene ontology or pathway annotation data. However, in plant biology, such methods may not establish any formal relationship between the genotypes and the phenotypes, as most of the tra

SUBMITTER: Das S 

PROVIDER: S-EPMC8391627 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature