Statistical modeling for differential transcriptome analysis using RNA-Seq technology

Jeffrey Charles Miecznikowski, Song Liu, Xing Ren

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.

 


Full Text: PDF DOI: 10.5430/jst.v2n5p33

Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.

Journal of Solid Tumors

ISSN 1925-4067(Print)   ISSN 1925-4075(Online)

Copyright © Sciedu Press


To make sure that you can receive messages from us, please add the 'Sciedu.ca' domain to your e-mail 'safe list'. If you do not receive e-mail in your 'inbox', check your 'bulk mail' or 'junk mail' folders.