RNA‐Seq Read Alignments with PALMapper
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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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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Ott, F. (2013) · Max Planck Institute for Plasma Physics
- 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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