Simulating Illumina metagenomic data with InSilicoSeq
Author(s) -
Hadrien Gourlé,
Oskar Karlsson Lindsjö,
Juliette Hayer,
Erik BongcamRudloff
Publication year - 2018
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/bty630
Subject(s) - metagenomics , computer science , mit license , documentation , python (programming language) , software , benchmarking , source code , data mining , programming language , biology , business , biochemistry , marketing , gene
The accurate in silico simulation of metagenomic datasets is of great importance for benchmarking bioinformatics tools as well as for experimental design. Users are dependant on large-scale simulation to not only design experiments and new projects but also for accurate estimation of computational needs within a project. Unfortunately, most current read simulators are either not suited for metagenomics, out of date or relatively poorly documented. In this article, we describe InSilicoSeq, a software package to simulate metagenomic Illumina sequencing data. InsilicoSeq has a simple command-line interface and extensive documentation.
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