Cited by 59Genomics and Phylogenetic StudiesRNA Research and SplicingSingle-cell and spatial transcriptomics

RNA‐Seq Read Alignments with PALMapper

Jean, Géraldine, Kahles, André, Sreedharan, Vipin T., Bona, Fabio De, Rätsch, Gunnar·2010·Current Protocols in Bioinformatics

Abstract

Next‐generation sequencing technologies have revolutionized genome and transcriptome sequencing. RNA‐Seq experiments are able to generate huge amounts of transcriptome sequence reads at a fraction of the cost of Sanger sequencing. Reads produced by these technologies are relatively short and error prone. To utilize such reads for transcriptome reconstruction and gene‐structure identification, one needs to be able to accurately align the sequence reads over intron boundaries. In this unit, we describe PALMapper, a fast and easy‐to‐use tool that is designed to accurately compute both unspliced and spliced alignments for millions of RNA‐Seq reads. It combines the efficient read mapper GenomeMapper with the spliced aligner QPALMA, which exploits read‐quality information and predictions of splice sites to improve the alignment accuracy. The PALMapper package is available as a command‐line tool running on Unix or Mac OS X systems or through a Web interface based on Galaxy tools.Curr. Protoc. Bioinform. 32:11.6.1‐11.6.37. © 2010 by John Wiley & Sons, Inc.

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Crossref · 10.1002/0471250953.bi1106s32

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  • Several RNA-seq mappers are optimized for specific tasks: identifying SNPs or indels (GSNAP, PALMapper, MapSplice), detecting non-canonical splice junctions (STAR, MapSplice), ultra-fast mapping (GEM), or mapping long reads (STAR).

    “Several other mappers exist that are optimized to identify SNPs or indels (GSNAP [202], PALMapper [203] MapSplice [204]), detect non-canonical splice junctions (STAR [15], MapSplice [204]), achieve ultra-fast mapping (GEM [205]) or map long-reads (STAR [15]).”

    From A survey of best practices for RNA-seq data analysis (2016) · cites this paper as [203]

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Authors
Jean, G., Kahles, A., Sreedharan, V. T., Bona, F. D., & Rätsch, G.
Affiliations
Max Planck Society (DE)
Venue
Current Protocols in Bioinformatics
Publisher
Wiley
Published
2010-12
Volume
32
Issue
1
Pages
Unit 11.6-Unit 11.6
ISSN
  • 1934-3396 (ISSN-L)
  • 1934-340X
OpenAlex
W1562006861
Cited by
59
References
10
Citations by year
2021: 1 · 2020: 3 · 2018: 1 · 2017: 4 · 2016: 4 · 2015: 10 · 2014: 12 · 2013: 11 · 2012: 6
FWCI
3.12
Type
journal article
Language
en
Open access
closed
Locations
  • Current Protocols in Bioinformatics (publishedVersion)
  • PubMed (publishedVersion)
  • HAL (submittedVersion)
  • Max Planck Institute for Plasma Physics (submittedVersion)
Funders
Pennsylvania State University
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA Research and Splicing
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
Keywords
RNA-seq alignment, spliced alignment, splice site prediction, read quality, transcriptome assembly, gene structure annotation, Galaxy tool
MeSH terms
Base Sequence, RNA, RNA Splicing, Software, Sequence Alignment, Genome, Sequence Analysis, RNA, Gene Expression Profiling, Genomics

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