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Simulating Illumina metagenomic data with InSilicoSeq.

Authors :
Gourlé, Hadrien
Hayer, Juliette
Bongcam-Rudloff, Erik
Karlsson-Lindsjö, Oskar
Source :
Bioinformatics. Feb2019, Vol. 35 Issue 3, p521-522. 2p.
Publication Year :
2019

Abstract

Motivation 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 Unfortunately, most current read simulators are either not suited for metagenomics, out of date or relatively poorly documented.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. Results InSilicoSeq is implemented in Python and capable of simulating realistic Illumina (meta) genomic data in a parallel fashion with sensible default parameters. Availability and implementation Source code and documentation are available under the MIT license at https://github.com/HadrienG/InSilicoSeq and https://insilicoseq.readthedocs.io/. Supplementary information Supplementary data are available at Bioinformatics online. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
13674803
Volume :
35
Issue :
3
Database :
Academic Search Index
Journal :
Bioinformatics
Publication Type :
Academic Journal
Accession number :
134533266
Full Text :
https://doi.org/10.1093/bioinformatics/bty630