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.