Accurate inference of isoforms from multiple sample RNA-Seq data.

ABSTRACT:

Background

RNA-Seq based transcriptome assembly has become a fundamental technique for studying expressed mRNAs (i.e., transcripts or isoforms) in a cell using high-throughput sequencing technologies, and is serving as a basis to analyze the structural and quantitative differences of expressed isoforms between samples. However, the current transcriptome assembly algorithms are not specifically designed to handle large amounts of errors that are inherent in real RNA-Seq datasets, especially those involving multiple samples, making downstream differential analysis applications difficult. On the other hand, multiple sample RNA-Seq datasets may provide more information than single sample datasets that can be utilized to improve the performance of transcriptome assembly and abundance es

SUBMITTER: Tasnim M 

PROVIDER: S-EPMC4331715 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature