Published in

Oxford University Press (OUP), Bioinformatics, 7(28), p. 921-928

DOI: 10.1093/bioinformatics/bts055

Links

Tools

Export citation

Search in Google Scholar

A new approach to bias correction in RNA-Seq

Journal article published in 2012 by Daniel C. Jones, Walter L. Ruzzo ORCID, Xinxia Peng, Michael G. Katze
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

Full text: Download

Green circle
Preprint: archiving allowed
Upload
Green circle
Postprint: archiving allowed
Upload
Red circle
Published version: archiving forbidden
Policy details
Data provided by SHERPA/RoMEO

Abstract

Motivation: Quantification of sequence abundance in RNA-Seq experiments is often conflated by protocol-specific sequence bias. The exact sources of the bias are unknown, but may be influenced by polymerase chain reaction amplification, or differing primer affinities and mixtures, for example. The result is decreased accuracy in many applications, such as de novo gene annotation and transcript quantification.