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A broad survey of DNA sequence data simulation tools

  • Shatha Alosaimi
  • , Armand Bandiang
  • , Noelle Van Biljon
  • , Denis Awany
  • , Prisca K. Thami
  • , Prisca K. Thami
  • , Milaine S.S. Tchamga
  • , Anmol Kiran
  • , Olfa Messaoud
  • , Radia Ismaeel Mohammed Hassan
  • , Jacquiline Mugo
  • , Azza Ahmed
  • , Christian D. Bope
  • , Imane Allali
  • , Gaston K. Mazandu
  • , Gaston K. Mazandu
  • , Gaston K. Mazandu
  • , Nicola J. Mulder
  • , Emile R. Chimusa

Research output: Contribution to journalReview articlepeer-review

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.

Original languageEnglish
Pages (from-to)49-59
Number of pages11
JournalBriefings in Functional Genomics
Volume19
Issue number1
DOIs
Publication statusPublished - 3 Jul 2018
Externally publishedYes

Keywords

  • bioinformatics tools
  • DNA sequence
  • genomics
  • next generation sequence
  • simulation

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