title: Identification of Differentially Expressed Genes in RNA-seq Data of Arabidopsis thaliana: A Compound Distribution Approach.
abstract: Gene expression is the process by which information from a gene is used in the synthesis of a functional gene product, which may be proteins. A gene is declared differentially expressed if an observed difference or change in read counts or expression levels between two experimental conditions is statistically significant. To identify differentially expressed genes between two conditions, it is important to find statistical distributional property of the data to approximate the nature of differential genes. In the present study, the focus is mainly to investigate the differential gene expression analysis for sequence data based on compound distribution model. This approach was applied in RNA-seq count data of Arabidopsis thaliana and it has been found that compound Poisson distribution is more appropriate to capture the variability as compared with Poisson distribution. Thus, fitting of appropriate distribution to gene expression data provides statistically sound cutoff values for identifying differentially expressed genes.
authors.affiliation: ICAR-Indian Agricultural Statistics Research Institute, Indian Council of Agricultural Research , New Delhi, India .
authors.forename: Arfa
authors.initials: A
authors.lastname: Anjum
authors.affiliation: ICAR-Indian Agricultural Statistics Research Institute, Indian Council of Agricultural Research , New Delhi, India .
authors.forename: Seema
authors.initials: S
authors.lastname: Jaggi
authors.affiliation: ICAR-Indian Agricultural Statistics Research Institute, Indian Council of Agricultural Research , New Delhi, India .
authors.forename: Eldho
authors.initials: E
authors.lastname: Varghese
authors.affiliation: ICAR-Indian Agricultural Statistics Research Institute, Indian Council of Agricultural Research , New Delhi, India .
authors.forename: Shwetank
authors.initials: S
authors.lastname: Lall
authors.affiliation: ICAR-Indian Agricultural Statistics Research Institute, Indian Council of Agricultural Research , New Delhi, India .
authors.forename: Arpan
authors.initials: A
authors.lastname: Bhowmik
authors.affiliation: ICAR-Indian Agricultural Statistics Research Institute, Indian Council of Agricultural Research , New Delhi, India .
authors.forename: Anil
authors.initials: A
authors.lastname: Rai
mesh_terms: D000465:Algorithms; D017360:Arabidopsis / Q000235:genetics*; D018506:Gene Expression Regulation, Plant; D017343:Genes, Plant; D008957:Models, Genetic; D012333:RNA, Messenger / Q000235:genetics
chemical_list: D012333:RNA, Messenger
keywords: compound distribution; differentially expressed genes; negative binomial