A comparison of tools for the simulation of genomic next-generation sequencing data.
Computer simulation of genomic data has become increasingly popular for assessing and validating biological models or for gaining an understanding of specific data sets. Several computational tools for the simulation of next-generation sequencing (NGS) data have been developed in recent years, which could be used to compare existing and new NGS analytical pipelines. Here we review 23 of these tools, highlighting their distinct functionality, requirements and potential applications. We also provide a decision tree for the informed selection of an appropriate NGS simulation tool for the specific question at hand.
Department of Biochemistry, Genetics and Immunology, University of Vigo, Vigo 36310, Spain.
Merly
M
Escalona
Department of Biochemistry, Genetics and Immunology, University of Vigo, Vigo 36310, Spain.
Sara
S
Rocha
Department of Biochemistry, Genetics and Immunology, University of Vigo, Vigo 36310, Spain.|Institute of Biomedical Research of Vigo (IBIV), University of Vigo, Vigo 36310, Spain.
David
D
Posada
D000818:Animals; D019295:Computational Biology / Q000379:methods*; D003198:Computer Simulation; D015894:Genome, Human; D023281:Genomics / Q000379:methods*; D059014:High-Throughput Nucleotide Sequencing / Q000379:methods*; D006801:Humans; D009154:Mutation / Q000235:genetics*; D012984:Software