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Statistical modeling for differential transcriptome analysis using RNA-Seq technology

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Author(s): Jeffrey Charles Miecznikowski | Song Liu | Xing Ren

Journal: Journal of Solid Tumors
ISSN 1925-4067

Volume: 2;
Issue: 5;
Date: 2012;
Original page

ABSTRACT
RNA-Seq is a recently developed technology for transcriptome profiling. Numerous advantages of RNA-Seq suggest that it will be the platform of choice for genome-wide expression studies. RNA-Seq generates large volumes of data which require statistical methods for data processing and accurate inference. This article reviews the RNA-Seq technologies followed by a detailed discussion of current statistical methods for normalization and differential expression analysis. 

Tango Jona
Tangokurs Rapperswil-Jona

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