Your browser doesn't support javascript.
loading
ASaiM: a Galaxy-based framework to analyze microbiota data.
Batut, Bérénice; Gravouil, Kévin; Defois, Clémence; Hiltemann, Saskia; Brugère, Jean-François; Peyretaillade, Eric; Peyret, Pierre.
Afiliación
  • Batut B; Université Clermont Auvergne, EA 4678 CIDAM, 63000 Clermont-Ferrand, France (previous address).
  • Gravouil K; Bioinformatics Group, Department of Computer Science, University of Freiburg, 79110 Freiburg, Germany.
  • Defois C; Université Clermont Auvergne, EA 4678 CIDAM, 63000 Clermont-Ferrand, France (previous address).
  • Hiltemann S; Université Clermont Auvergne, INRA, MEDIS, 63000 Clermont-Ferrand, France.
  • Brugère JF; Université Clermont Auvergne, CNRS, LMGE, 63000 Clermont-Ferrand, France.
  • Peyretaillade E; Université Clermont Auvergne, CNRS, LIMOS, 63000 Clermont-Ferrand, France.
  • Peyret P; Université Clermont Auvergne, EA 4678 CIDAM, 63000 Clermont-Ferrand, France (previous address).
Gigascience ; 7(6)2018 06 01.
Article en En | MEDLINE | ID: mdl-29790941
ABSTRACT

Background:

New generations of sequencing platforms coupled to numerous bioinformatics tools have led to rapid technological progress in metagenomics and metatranscriptomics to investigate complex microorganism communities. Nevertheless, a combination of different bioinformatic tools remains necessary to draw conclusions out of microbiota studies. Modular and user-friendly tools would greatly improve such studies.

Findings:

We therefore developed ASaiM, an Open-Source Galaxy-based framework dedicated to microbiota data analyses. ASaiM provides an extensive collection of tools to assemble, extract, explore, and visualize microbiota information from raw metataxonomic, metagenomic, or metatranscriptomic sequences. To guide the analyses, several customizable workflows are included and are supported by tutorials and Galaxy interactive tours, which guide users through the analyses step by step. ASaiM is implemented as a Galaxy Docker flavour. It is scalable to thousands of datasets but also can be used on a normal PC. The associated source code is available under Apache 2 license at https//github.com/ASaiM/framework and documentation can be found online (http//asaim.readthedocs.io).

Conclusions:

Based on the Galaxy framework, ASaiM offers a sophisticated environment with a variety of tools, workflows, documentation, and training to scientists working on complex microorganism communities. It makes analysis and exploration analyses of microbiota data easy, quick, transparent, reproducible, and shareable.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Programas Informáticos / Estadística como Asunto / Microbiota Idioma: En Revista: Gigascience Año: 2018 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Programas Informáticos / Estadística como Asunto / Microbiota Idioma: En Revista: Gigascience Año: 2018 Tipo del documento: Article