Literature DB >> 27560171

Transcript-level expression analysis of RNA-seq experiments with HISAT, StringTie and Ballgown.

Mihaela Pertea1,2, Daehwan Kim1, Geo M Pertea1, Jeffrey T Leek3, Steven L Salzberg1,2,3,4.   

Abstract

High-throughput sequencing of mRNA (RNA-seq) has become the standard method for measuring and comparing the levels of gene expression in a wide variety of species and conditions. RNA-seq experiments generate very large, complex data sets that demand fast, accurate and flexible software to reduce the raw read data to comprehensible results. HISAT (hierarchical indexing for spliced alignment of transcripts), StringTie and Ballgown are free, open-source software tools for comprehensive analysis of RNA-seq experiments. Together, they allow scientists to align reads to a genome, assemble transcripts including novel splice variants, compute the abundance of these transcripts in each sample and compare experiments to identify differentially expressed genes and transcripts. This protocol describes all the steps necessary to process a large set of raw sequencing reads and create lists of gene transcripts, expression levels, and differentially expressed genes and transcripts. The protocol's execution time depends on the computing resources, but it typically takes under 45 min of computer time. HISAT, StringTie and Ballgown are available from http://ccb.jhu.edu/software.shtml.

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Year:  2016        PMID: 27560171      PMCID: PMC5032908          DOI: 10.1038/nprot.2016.095

Source DB:  PubMed          Journal:  Nat Protoc        ISSN: 1750-2799            Impact factor:   13.491


  38 in total

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Journal:  Nat Methods       Date:  2012-03-04       Impact factor: 28.547

4.  SOAPdenovo-Trans: de novo transcriptome assembly with short RNA-Seq reads.

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Journal:  Bioinformatics       Date:  2014-02-13       Impact factor: 6.937

5.  Analysis and design of RNA sequencing experiments for identifying isoform regulation.

Authors:  Yarden Katz; Eric T Wang; Edoardo M Airoldi; Christopher B Burge
Journal:  Nat Methods       Date:  2010-11-07       Impact factor: 28.547

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7.  Oases: robust de novo RNA-seq assembly across the dynamic range of expression levels.

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Journal:  Bioinformatics       Date:  2009-11-11       Impact factor: 6.937

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