Literature DB >> 23267171

SRmapper: a fast and sensitive genome-hashing alignment tool.

Paul M Gontarz1, Jennifer Berger, Chung F Wong.   

Abstract

UNLABELLED: Modern sequencing instruments have the capability to produce millions of short reads every day. The large number of reads produced in conjunction with variations between reads and reference genomic sequences caused both by legitimate differences, such as single-nucleotide polymorphisms and insertions/deletions (indels), and by sequencer errors make alignment a difficult and computationally expensive task, and many reads cannot be aligned. Here, we introduce a new alignment tool, SRmapper, which in tests using real data can align 10s of billions of base pairs from short reads to the human genome per computer processor day. SRmapper tolerates a higher number of mismatches than current programs based on Burrows-Wheeler transform and finds about the same number of alignments in 2-8× less time depending on read length (with higher performance gain for longer read length). The current version of SRmapper aligns both single and pair-end reads in base space fastq format and outputs alignments in Sequence Alignment/Map format. SRmapper uses a probabilistic approach to set a default number of mismatches allowed and determines alignment quality. SRmapper's memory footprint (∼2.5 GB) is small enough that it can be run on a computer with 4 GB of random access memory for a genome the size of a human. Finally, SRmapper is designed so that its function can be extended to finding small indels as well as long deletions and chromosomal translocations in future versions. AVAILABILITY: http://www.umsl.edu/∼wongch/software.html.

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Year:  2012        PMID: 23267171     DOI: 10.1093/bioinformatics/bts712

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  9 in total

1.  lordFAST: sensitive and Fast Alignment Search Tool for LOng noisy Read sequencing Data.

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Journal:  Bioinformatics       Date:  2019-01-01       Impact factor: 6.937

2.  Short Read Mapping: An Algorithmic Tour.

Authors:  Stefan Canzar; Steven L Salzberg
Journal:  Proc IEEE Inst Electr Electron Eng       Date:  2015-09-07       Impact factor: 10.961

3.  Analysis of optimal alignments unfolds aligners' bias in existing variant profiles.

Authors:  Quang Tran; Shanshan Gao; Vinhthuy Phan
Journal:  BMC Bioinformatics       Date:  2016-10-06       Impact factor: 3.169

4.  AlignerBoost: A Generalized Software Toolkit for Boosting Next-Gen Sequencing Mapping Accuracy Using a Bayesian-Based Mapping Quality Framework.

Authors:  Qi Zheng; Elizabeth A Grice
Journal:  PLoS Comput Biol       Date:  2016-10-05       Impact factor: 4.475

5.  Assessing the impact of exact reads on reducing the error rate of read mapping.

Authors:  Farzaneh Salari; Fatemeh Zare-Mirakabad; Mehdi Sadeghi; Hassan Rokni-Zadeh
Journal:  BMC Bioinformatics       Date:  2018-11-06       Impact factor: 3.169

Review 6.  Technology dictates algorithms: recent developments in read alignment.

Authors:  Mohammed Alser; Jeremy Rotman; Onur Mutlu; Serghei Mangul; Dhrithi Deshpande; Kodi Taraszka; Huwenbo Shi; Pelin Icer Baykal; Harry Taegyun Yang; Victor Xue; Sergey Knyazev; Benjamin D Singer; Brunilda Balliu; David Koslicki; Pavel Skums; Alex Zelikovsky; Can Alkan
Journal:  Genome Biol       Date:  2021-08-26       Impact factor: 13.583

7.  MOSAIK: a hash-based algorithm for accurate next-generation sequencing short-read mapping.

Authors:  Wan-Ping Lee; Michael P Stromberg; Alistair Ward; Chip Stewart; Erik P Garrison; Gabor T Marth
Journal:  PLoS One       Date:  2014-03-05       Impact factor: 3.240

8.  mrsFAST-Ultra: a compact, SNP-aware mapper for high performance sequencing applications.

Authors:  Faraz Hach; Iman Sarrafi; Farhad Hormozdiari; Can Alkan; Evan E Eichler; S Cenk Sahinalp
Journal:  Nucleic Acids Res       Date:  2014-05-08       Impact factor: 16.971

9.  Comparison of mapping algorithms used in high-throughput sequencing: application to Ion Torrent data.

Authors:  Ségolène Caboche; Christophe Audebert; Yves Lemoine; David Hot
Journal:  BMC Genomics       Date:  2014-04-05       Impact factor: 3.969

  9 in total

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