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STEMSIM: a simulator of within-strain short-term evolutionary mutations for longitudinal metagenomic data.

Authors :
Zhou, Boyan
Li, Huilin
Source :
Bioinformatics. May2023, Vol. 39 Issue 5, p1-3. 3p.
Publication Year :
2023

Abstract

Motivation As the resolution of metagenomic analysis increases, the evolution of microbial genomes in longitudinal metagenomic data has become a research focus. Some software has been developed for the simulation of complex microbial communities at the strain level. However, the tool for simulating within-strain evolutionary signals in longitudinal samples is still lacking. Results In this study, we introduce STEMSIM, a user-friendly command-line simulator of short-term evolutionary mutations for longitudinal metagenomic data. The input is simulated longitudinal raw sequencing reads of microbial communities or single species. The output is the modified reads with within-strain evolutionary mutations and the relevant information of these mutations. STEMSIM will be of great use for the evaluation of analytic tools that detect short-term evolutionary mutations in metagenomic data. Availability and implementation STEMSIM and its tutorial are freely available online at https://github.com/BoyanZhou/STEMSim. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
13674803
Volume :
39
Issue :
5
Database :
Academic Search Index
Journal :
Bioinformatics
Publication Type :
Academic Journal
Accession number :
164066711
Full Text :
https://doi.org/10.1093/bioinformatics/btad302