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Statistical Applications in Genetics and Molecular Biology

Editor-in-Chief: Stumpf, Michael P.H.

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1544-6115
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Volume 10, Issue 1 (May 2011)

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A Two-Stage Poisson Model for Testing RNA-Seq Data

Paul L. Auer / Rebecca W Doerge
Published Online: 2011-05-16 | DOI: https://doi.org/10.2202/1544-6115.1627

RNA sequencing technology is providing data of unprecedented throughput, resolution, and accuracy. Although there are many different computational tools for processing these data, there are a limited number of statistical methods for analyzing them, and even fewer that acknowledge the unique nature of individual gene transcription. We introduce a simple and powerful statistical approach, based on a two-stage Poisson model, for modeling RNA sequencing data and testing for biologically important changes in gene expression. The advantages of this approach are demonstrated through simulations and real data applications.

Keywords: next-generation sequencing; RNA-Seq; differential expression

About the article

Published Online: 2011-05-16


Citation Information: Statistical Applications in Genetics and Molecular Biology, ISSN (Online) 1544-6115, ISSN (Print) 2194-6302, DOI: https://doi.org/10.2202/1544-6115.1627.

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©2011 Walter de Gruyter GmbH & Co. KG, Berlin/Boston. Copyright Clearance Center

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