ASaiM: a Galaxy-based framework to analyze microbiota data

被引:22
作者
Batut, Berenice [1 ,2 ]
Gravouil, Kevin [1 ,3 ,4 ,5 ]
Defois, Clemence [1 ,3 ]
Hiltemann, Saskia [6 ]
Brugere, Jean-Francois [1 ]
Peyretaillade, Eric [1 ,4 ]
Peyret, Pierre [1 ,3 ]
机构
[1] Univ Clermont Auvergne, EA CIDAM 4678, F-63000 Clermont Ferrand, France
[2] Univ Freiburg, Dept Comp Sci, Bioinformat Grp, D-79110 Freiburg, Germany
[3] Univ Clermont Auvergne, MEDIS, INRA, F-63000 Clermont Ferrand, France
[4] Univ Clermont Auvergne, LMGE, CNRS, F-63000 Clermont Ferrand, France
[5] Univ Clermont Auvergne, CNRS, LIMOS, F-63000 Clermont Ferrand, France
[6] Erasmus Univ, Dept Bioinformat, Med Ctr, NL-3015 CE Rotterdam, Netherlands
来源
GIGASCIENCE | 2018年 / 7卷 / 06期
关键词
metagenomics; metataxonomics; user-friendly; Galaxy; Docker; microbiota; training; GENERATION SEQUENCING DATA; METAGENOMIC DATASETS; READ ALIGNMENT; DISCOVERY; ASSEMBLER; PIPELINE; QUALITY; RNA;
D O I
10.1093/gigascience/giy057
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
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.
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页数:7
相关论文
共 54 条
  • [1] Metabolic Reconstruction for Metagenomic Data and Its Application to the Human Microbiome
    Abubucker, Sahar
    Segata, Nicola
    Goll, Johannes
    Schubert, Alyxandria M.
    Izard, Jacques
    Cantarel, Brandi L.
    Rodriguez-Mueller, Beltran
    Zucker, Jeremy
    Thiagarajan, Mathangi
    Henrissat, Bernard
    White, Owen
    Kelley, Scott T.
    Methe, Barbara
    Schloss, Patrick D.
    Gevers, Dirk
    Mitreva, Makedonka
    Huttenhower, Curtis
    [J]. PLOS COMPUTATIONAL BIOLOGY, 2012, 8 (06)
  • [2] The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2016 update
    Afgan, Enis
    Baker, Dannon
    van den Beek, Marius
    Blankenberg, Daniel
    Bouvier, Dave
    Cech, Martin
    Chilton, John
    Clements, Dave
    Coraor, Nate
    Eberhard, Carl
    Gruening, Bjoern
    Guerler, Aysam
    Hillman-Jackson, Jennifer
    Von Kuster, Greg
    Rasche, Eric
    Soranzo, Nicola
    Turaga, Nitesh
    Taylor, James
    Nekrutenko, Anton
    Goecks, Jeremy
    [J]. NUCLEIC ACIDS RESEARCH, 2016, 44 (W1) : W3 - W10
  • [3] Compact graphical representation of phylogenetic data and metadata with GraPhlAn
    Asnicar, Francesco
    Weingart, George
    Tickle, Timothy L.
    Huttenhower, Curtis
    Segata, Nicola
    [J]. PEERJ, 2015, 3
  • [4] Awad S, 2017, EVALUATING METAGENOM, DOI [10.1101/155358, DOI 10.1101/155358]
  • [5] Batut B, 2017, J OPEN SOURCE SOFTWA, V2, P418
  • [6] Batut B, 2018, GIGASCIENCE DATABASE, DOI [10.5524/1642-18460-4, DOI 10.5524/1642-18460-4]
  • [7] Batut Berenice., bioRxiv, P225680, DOI DOI 10.1101/225680
  • [8] Bik H.M., 2014, bioRxiv, P009944, DOI [DOI 10.1101/009944, 10.1101/009944]
  • [9] Dissemination of scientific software with Galaxy ToolShed
    Blankenberg, Daniel
    Von Kuster, Gregory
    Bouvier, Emil
    Baker, Dannon
    Afgan, Enis
    Stoler, Nicholas
    Team, Galaxy
    Taylor, James
    Nekrutenko, Anton
    [J]. GENOME BIOLOGY, 2014, 15 (02)
  • [10] Trimmomatic: a flexible trimmer for Illumina sequence data
    Bolger, Anthony M.
    Lohse, Marc
    Usadel, Bjoern
    [J]. BIOINFORMATICS, 2014, 30 (15) : 2114 - 2120