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  Microindel detection in short-read sequence data.

Krawitz, P., Rödelsperger, C., Jäger, M., Jostins, L., Bauer, S., & Robinson, P. N. (2010). Microindel detection in short-read sequence data. Bioinformatics, 26(6), 722-729. doi:10.1093/bioinformatics/btq027.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0010-7B97-4 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-0010-7B98-2
Genre: Journal Article
Alternative Title : Bioinformatics

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 Creators:
Krawitz, P., Author
Rödelsperger, C.1, Author              
Jäger, M., Author
Jostins, L., Author
Bauer, S., Author
Robinson, P. N.1, Author              
Affiliations:
1Research Group Development & Disease (Head: Stefan Mundlos), Max Planck Institute for Molecular Genetics, Max Planck Society, ou_1433557              

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Free keywords: *Algorithms; Base Sequence; Genomics/*methods; INDEL Mutation; Molecular Sequence Data; Sequence Analysis, DNA/methods
 Abstract: MOTIVATION: Several recent studies have demonstrated the effectiveness of resequencing and single nucleotide variant (SNV) detection by deep short-read sequencing platforms. While several reliable algorithms are available for automated SNV detection, the automated detection of microindels in deep short-read data presents a new bioinformatics challenge. RESULTS: We systematically analyzed how the short-read mapping tools MAQ, Bowtie, Burrows-Wheeler alignment tool (BWA), Novoalign and RazerS perform on simulated datasets that contain indels and evaluated how indels affect error rates in SNV detection. We implemented a simple algorithm to compute the equivalent indel region eir, which can be used to process the alignments produced by the mapping tools in order to perform indel calling. Using simulated data that contains indels, we demonstrate that indel detection works well on short-read data: the detection rate for microindels (<4 bp) is >90%. Our study provides insights into systematic errors in SNV detection that is based on ungapped short sequence read alignments. Gapped alignments of short sequence reads can be used to reduce this error and to detect microindels in simulated short-read data. A comparison with microindels automatically identified on the ABI Sanger and Roche 454 platform indicates that microindel detection from short sequence reads identifies both overlapping and distinct indels. CONTACT: peter.krawitz@googlemail.com; peter.robinson@charite.de SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

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Language(s): eng - English
 Dates: 2010-03-15
 Publication Status: Published in print
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Title: Bioinformatics
  Alternative Title : Bioinformatics
Source Genre: Journal
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Pages: - Volume / Issue: 26 (6) Sequence Number: - Start / End Page: 722 - 729 Identifier: ISSN: ) 1367-4803