Chapter title |
RNA-Seq-Based Transcript Structure Analysis with TrBorderExt
|
---|---|
Chapter number | 6 |
Book title |
Transcriptome Data Analysis
|
Published in |
Methods in molecular biology, January 2018
|
DOI | 10.1007/978-1-4939-7710-9_6 |
Pubmed ID | |
Book ISBNs |
978-1-4939-7709-3, 978-1-4939-7710-9
|
Authors |
Yejun Wang, Ming-an Sun, Aaron P. White |
Abstract |
RNA-Seq has become a routine strategy for genome-wide gene expression comparisons in bacteria. Despite lower resolution in transcript border parsing compared with dRNA-Seq, TSS-EMOTE, Cappable-seq, Term-seq, and others, directional RNA-Seq still illustrates its advantages: low cost, quantification and transcript border analysis with a medium resolution (±10-20 nt). To facilitate mining of directional RNA-Seq datasets especially with respect to transcript structure analysis, we developed a tool, TrBorderExt, which can parse transcript start sites and termination sites accurately in bacteria. A detailed protocol is described in this chapter for how to use the software package step by step to identify bacterial transcript borders from raw RNA-Seq data. The package was developed with Perl and R programming languages, and is accessible freely through the website: http://www.szu-bioinf.org/TrBorderExt . |
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