Bioinformatics. 2022 Jan 12;btab882.
N García-García, J Tamames, F Puente-Sánchez

Abstract

Summary: Advances in sequencing technologies have triggered the development of many bioinformatic tools aimed to analyze 16S rDNA sequencing data. As these tools need to be tested, it is important to simulate datasets that resemble samples from different environments. Here, we introduce M&Ms, a user-friendly open-source bioinformatic tool to produce different 16S rDNA datasets from reference sequences, based on pragmatic ecological parameters. It creates sequence libraries for 'in silico' microbial communities with user-controlled richness, evenness, microdiversity, and source environment. M&Ms allows the user to generate simple to complex read datasets based on real parameters that can be used in developing bioinformatic software or in benchmarking current tools.

Availability: The source code of M&Ms is freely available at https://github.com/ggnatalia/MMs (GPL-3.0 License).

Supplementary information: Supplementary data are available at Bioinformatics online.

doi: 10.1093/bioinformatics/btab882.