• 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