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rANOMALY: AmplicoN wOrkflow for Microbial community AnaLYsis
Bioinformatic tools for marker gene sequencing data analysis are continuously and rapidly evolving, thus integrating most recent techniques and tools is challenging. We present an R package for data analysis of 16S and ITS amplicons based sequencing. This workflow is based on several R functions and...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
F1000 Research Limited
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7836088/ https://www.ncbi.nlm.nih.gov/pubmed/33537122 http://dx.doi.org/10.12688/f1000research.27268.1 |
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author | Theil, Sebastien Rifa, Etienne |
author_facet | Theil, Sebastien Rifa, Etienne |
author_sort | Theil, Sebastien |
collection | PubMed |
description | Bioinformatic tools for marker gene sequencing data analysis are continuously and rapidly evolving, thus integrating most recent techniques and tools is challenging. We present an R package for data analysis of 16S and ITS amplicons based sequencing. This workflow is based on several R functions and performs automatic treatments from fastq sequence files to diversity and differential analysis with statistical validation. The main purpose of this package is to automate bioinformatic analysis, ensure reproducibility between projects, and to be flexible enough to quickly integrate new bioinformatic tools or statistical methods. rANOMALY is an easy to install and customizable R package, that uses amplicon sequence variants (ASV) level for microbial community characterization. It integrates all assets of the latest bioinformatics methods, such as better sequence tracking, decontamination from control samples, use of multiple reference databases for taxonomic annotation, all main ecological analysis for which we propose advanced statistical tests, and a cross-validated differential analysis by four different methods. Our package produces ready to publish figures, and all of its outputs are made to be integrated in Rmarkdown code to produce automated reports. |
format | Online Article Text |
id | pubmed-7836088 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | F1000 Research Limited |
record_format | MEDLINE/PubMed |
spelling | pubmed-78360882021-02-02 rANOMALY: AmplicoN wOrkflow for Microbial community AnaLYsis Theil, Sebastien Rifa, Etienne F1000Res Software Tool Article Bioinformatic tools for marker gene sequencing data analysis are continuously and rapidly evolving, thus integrating most recent techniques and tools is challenging. We present an R package for data analysis of 16S and ITS amplicons based sequencing. This workflow is based on several R functions and performs automatic treatments from fastq sequence files to diversity and differential analysis with statistical validation. The main purpose of this package is to automate bioinformatic analysis, ensure reproducibility between projects, and to be flexible enough to quickly integrate new bioinformatic tools or statistical methods. rANOMALY is an easy to install and customizable R package, that uses amplicon sequence variants (ASV) level for microbial community characterization. It integrates all assets of the latest bioinformatics methods, such as better sequence tracking, decontamination from control samples, use of multiple reference databases for taxonomic annotation, all main ecological analysis for which we propose advanced statistical tests, and a cross-validated differential analysis by four different methods. Our package produces ready to publish figures, and all of its outputs are made to be integrated in Rmarkdown code to produce automated reports. F1000 Research Limited 2021-01-07 /pmc/articles/PMC7836088/ /pubmed/33537122 http://dx.doi.org/10.12688/f1000research.27268.1 Text en Copyright: © 2021 Theil S and Rifa E http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Software Tool Article Theil, Sebastien Rifa, Etienne rANOMALY: AmplicoN wOrkflow for Microbial community AnaLYsis |
title | rANOMALY: AmplicoN wOrkflow for Microbial community AnaLYsis |
title_full | rANOMALY: AmplicoN wOrkflow for Microbial community AnaLYsis |
title_fullStr | rANOMALY: AmplicoN wOrkflow for Microbial community AnaLYsis |
title_full_unstemmed | rANOMALY: AmplicoN wOrkflow for Microbial community AnaLYsis |
title_short | rANOMALY: AmplicoN wOrkflow for Microbial community AnaLYsis |
title_sort | ranomaly: amplicon workflow for microbial community analysis |
topic | Software Tool Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7836088/ https://www.ncbi.nlm.nih.gov/pubmed/33537122 http://dx.doi.org/10.12688/f1000research.27268.1 |
work_keys_str_mv | AT theilsebastien ranomalyampliconworkflowformicrobialcommunityanalysis AT rifaetienne ranomalyampliconworkflowformicrobialcommunityanalysis |