ASaiM

ASaiM provides integrated analysis of microbiota sequencing data within the Galaxy platform, enabling processing of raw metataxonomic, metagenomic, and metatranscriptomic reads into taxonomic and functional characterizations.


Key Features:

  • Comprehensive analytical toolset: Tools for assembling reads, extracting features, exploring microbial composition, and visualizing results from raw metataxonomic, metagenomic, and metatranscriptomic sequences.
  • Customizable workflows: Galaxy-based customizable workflows for stepwise execution of metagenomic and metatranscriptomic analyses.
  • Scalability: Deployable as a Galaxy Docker flavor and capable of running on standard computers or high-performance computing clusters to process large numbers of datasets.
  • Reproducibility and shareability: Integration within the Galaxy framework to enable transparent, reproducible, and shareable analyses.

Scientific Applications:

  • Metagenomics: Analysis of genetic material recovered directly from environmental samples to study microbial diversity and function.
  • Metatranscriptomics: Investigation of RNA transcripts to profile gene expression patterns within microbial communities.
  • Microbiota studies: Characterization of microbiota composition and dynamics in environments including human health and disease contexts.

Methodology:

Integration of Galaxy-compatible bioinformatics tools with computational steps including assembly of sequencing reads into contigs or transcripts, feature extraction (genes, pathways, taxa), statistical exploratory analyses, and generation of visualizations.

Topics

Details

License:
Apache-2.0
Tool Type:
command-line tool
Operating Systems:
Linux, Mac
Programming Languages:
JavaScript, Shell, Python
Added:
7/13/2018
Last Updated:
11/25/2024

Operations

Publications

Batut B, Gravouil K, Defois C, Hiltemann S, Brugère J, Peyretaillade E, Peyret P. ASaiM: a Galaxy-based framework to analyze microbiota data. GigaScience. 2018;7(6). doi:10.1093/gigascience/giy057. PMID:29790941. PMCID:PMC6007547.

Documentation