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 language | English |
|---|---|
| Pages (from-to) | 49-59 |
| Number of pages | 11 |
| Journal | Briefings in Functional Genomics |
| Volume | 19 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 3 Jul 2018 |
| Externally published | Yes |
Keywords
- bioinformatics tools
- DNA sequence
- genomics
- next generation sequence
- simulation
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