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Activity Number: 124
Type: Topic Contributed
Date/Time: Monday, August 10, 2015 : 8:30 AM to 10:20 AM
Sponsor: Section on Statistics in Genomics and Genetics
Abstract #316227 View Presentation
Title: Identification of Stably Expressed Genes from Arabidopsis RNA-Seq Data
Author(s): Yanming Di* and Bin Zhuo
Companies: Oregon State University and
Keywords: RNA-Seq ; normalization ; variance components
Abstract:

We examine RNA-Seq data from many different experiments carried out by different labs and identify genes that are stably expressed across biological samples, experiment conditions, and labs. We fit a random-effect model to the read counts for each gene and decompose the total variance to into between-sample, between-condition and between lab variance components. Identifying stably expressed genes is useful for count normalization. The variance component analysis is a first step towards understanding the sources and nature of the RNA-Seq count variation.


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