DocumentCode
1763819
Title
RNA-Seq Analysis Pipeline Based on Oshell Environment
Author
Jing Li ; Jun Hu ; Newman, Mike ; Kejun Liu ; Huanying Ge
Author_Institution
Div. of Bioinf., Omicsoft Corp., Cary, NC, USA
Volume
11
Issue
5
fYear
2014
fDate
Sept.-Oct. 1 2014
Firstpage
973
Lastpage
978
Abstract
Advances in transcriptome sequencing (RNA-Seq) have revolutionized the way to characterize and quantify transcripts. The breakthroughs in RNA-Seq technologies give rise to the ever-increasing volumes of data, making data processing the bottleneck of transcriptome research. It becomes crucial to develop an efficient analysis pipeline to automate RNA-Seq data analysis. Based on Oshell environment, we present here an ultra-fast and powerful RNA-Seq analysis pipeline for quality control, sequence alignment, variation detection, expression quantification and junction discovery. The pipeline runs on both Linux and Windows operating systems, with either stand-alone or cluster computing environment. Parallel computing is also supported for improved processing speed. Oshell is free for non-commercial use at http://omicsoft.com/oshell.
Keywords
Linux; RNA; biology computing; data analysis; molecular biophysics; molecular configurations; Linux; Oshell environment; RNA-Seq analysis pipeline; RNA-Seq data analysis; cluster computing environment; data processing; ever-increasing data volumes; junction discovery; powerful RNA-Seq analysis; quality control; quantify transcripts; sequence alignment; transcriptome research; transcriptome sequencing; ultrafast RNA-Seq analysis; variation detection; Bioinformatics; Computational biology; Genomics; Junctions; Linux; Pipelines; Quality control; RNA-Seq analysis; parallel processing; sequence alignment;
fLanguage
English
Journal_Title
Computational Biology and Bioinformatics, IEEE/ACM Transactions on
Publisher
ieee
ISSN
1545-5963
Type
jour
DOI
10.1109/TCBB.2014.2321156
Filename
6808521
Link To Document