ART: a next-generation sequencing read simulator

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ID: 291925
2011
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Abstract
Abstract Summary: ART is a set of simulation tools that generate synthetic next-generation sequencing reads. This functionality is essential for testing and benchmarking tools for next-generation sequencing data analysis including read alignment, de novo assembly and genetic variation discovery. ART generates simulated sequencing reads by emulating the sequencing process with built-in, technology-specific read error models and base quality value profiles parameterized empirically in large sequencing datasets. We currently support all three major commercial next-generation sequencing platforms: Roche's 454, Illumina's Solexa and Applied Biosystems' SOLiD. ART also allows the flexibility to use customized read error model parameters and quality profiles. Availability: Both source and binary software packages are available at http://www.niehs.nih.gov/research/resources/software/art Contact: weichun.huang@nih.gov; gabor.marth@bc.edu Supplementary information: Supplementary data are available at Bioinformatics online.
Reference Key
openalex_W2157539385 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Weichun Huang, Leping Li, Jason R. Myers, Gábor Marth
Journal BMC Bioinformatics
Year 2011
DOI
10.1093/bioinformatics/btr708
URL
https://doi.org/10.1093/bioinformatics/btr708
Keywords Keywords not found

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