| Literature DB >> 31867604 |
Shatha Alosaimi1, Armand Bandiang1, Noelle van Biljon2, Denis Awany1, Prisca K Thami1,3, Milaine S S Tchamga1, Anmol Kiran4,5, Olfa Messaoud6, Radia Ismaeel Mohammed Hassan1, Jacquiline Mugo2, Azza Ahmed7, Christian D Bope2, Imane Allali2, Gaston K Mazandu1,2,8, Nicola J Mulder2, Emile R Chimusa1.
Abstract
In silico DNA sequence generation is a powerful technology to evaluate and validate bioinformatics tools, and accordingly more than 35 DNA sequence simulation tools have been developed. With such a diverse array of tools to choose from, an important question is: Which tool should be used for a desired outcome? This question is largely unanswered as documentation for many of these DNA simulation tools is sparse. To address this, we performed a review of DNA sequence simulation tools developed to date and evaluated 20 state-of-art DNA sequence simulation tools on their ability to produce accurate reads based on their implemented sequence error model. We provide a succinct description of each tool and suggest which tool is most appropriate for the given different scenarios. Given the multitude of similar yet non-identical tools, researchers can use this review as a guide to inform their choice of DNA sequence simulation tool. This paves the way towards assessing existing tools in a unified framework, as well as enabling different simulation scenario analysis within the same framework.Keywords: DNA sequence; bioinformatics tools; genomics; next generation sequence; simulation
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Year: 2020 PMID: 31867604 PMCID: PMC7030445 DOI: 10.1093/bfgp/elz033
Source DB: PubMed Journal: Brief Funct Genomics ISSN: 2041-2649 Impact factor: 4.241