ART: a next-generation sequencing read simulator |
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Authors: | Huang Weichun Li Leping Myers Jason R Marth Gabor T |
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Institution: | Biostatistics Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC 27709, USA. weichun.huang@nih.gov |
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Abstract: | 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. |
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