BTW – Bioinformatics Through Windows: an easy-to-install package to analyze marker gene data

Institute of Microbiology, Czech Academy of Sciences, Prague, Czech Republic
Centro para Pesquisa Interdisciplinar em Biotecnologia, Universidade Federal do Pampa, São Gabriel, Brazil
Natural England, Natural England, Sheffield, United Kingdom
Biosystems Informatics and Genomics, Instituto René Rachou, Belo Horizonte, Brazil
Soil Department, “Luiz de Queiroz” College of Agriculture, Piracicaba, Brazil
DOI
10.7287/peerj.preprints.26581v1
Subject Areas
Biodiversity, Bioinformatics, Microbiology
Keywords
metataxonomics, microbiome, 16S rRNA, Windows, marker gene
Copyright
© 2018 Morais et al.
Licence
This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Preprints) and either DOI or URL of the article must be cited.
Cite this article
Morais D, Roesch L, Redmile-Gordon M, Santos F, Baldrian P, Andreote F, Pylro VS. 2018. BTW – Bioinformatics Through Windows: an easy-to-install package to analyze marker gene data. PeerJ Preprints 6:e26581v1

Abstract

Recent advances in Next-Generation Sequencing (NGS) make comparative analyses of the composition and diversity of whole microbial communities possible at far greater depth than ever before. This brings new challenges, such as an increased dependence on computation to process these huge datasets. The demand on system resources usually requires migrating from Windows to Linux-based operating systems and prior familiarity with command-line interfaces. To overcome this barrier, we developed a fully automated and easy-to-install package as well as a complete, easy to follow pipeline for microbial metataxonomic analysis operating in the Windows Subsystem for Linux (WSL) - Bioinformatics Through Windows (BTW). BTW combines several open-access tools for processing marker gene data, including 16S rRNA, bringing the user from raw sequencing reads to diversity-related conclusions. It includes data quality filtering, clustering, taxonomic assignment and further statistical analyses, directly in WSL, avoiding the prior need of migrating from Windows to Linux. BTW is expected to boost the use of NGS amplicon data by facilitating rapid access to bioinformatics tools for Windows users. BTW is a Bash script and is available in GitHub ( https://github.com/vpylro/BTW ). The package is freely available for noncommercial users.

Author Comment

This is a submission to PeerJ for review.

Supplemental Information

Bash file for 16S rRNA data analysis pipeline benchmark

DOI: 10.7287/peerj.preprints.26581v1/supp-1