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Performance evaluation of six popular short-read simulators
- Source :
- Heredity. 130:55-63
- Publication Year :
- 2022
- Publisher :
- Springer Science and Business Media LLC, 2022.
-
Abstract
- High-throughput sequencing data enables the comprehensive study of genomes and the variation therein. Essential for the interpretation of this genomic data is a thorough understanding of the computational methods used for processing and analysis. Whereas “gold-standard” empirical datasets exist for this purpose in humans, synthetic (i.e., simulated) sequencing data can offer important insights into the capabilities and limitations of computational pipelines for any arbitrary species and/or study design—yet, the ability of read simulator software to emulate genomic characteristics of empirical datasets remains poorly understood. We here compare the performance of six popular short-read simulators—ART, DWGSIM, InSilicoSeq, Mason, NEAT, and wgsim—and discuss important considerations for selecting suitable models for benchmarking.
- Subjects :
- Genetics
Genetics (clinical)
Subjects
Details
- ISSN :
- 13652540 and 0018067X
- Volume :
- 130
- Database :
- OpenAIRE
- Journal :
- Heredity
- Accession number :
- edsair.doi...........5cc0ec67904ee8b5c9647866f51be273