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