ART: a next-generation sequencing read simulator

Clicks: 17
ID: 291925
2011
Free PDF
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Steady

Ranked #713 of 983 articles by views in BMC Bioinformatics

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 983 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
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
Are you one of these authors? Claim your profile
Journal BMC Bioinformatics
Year 2011
DOI
10.1093/bioinformatics/btr708
URL
https://doi.org/10.1093/bioinformatics/btr708
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.