Tamock
Tamock simulates shotgun metagenomic reads that reflect habitat-specific microbial community composition to produce realistic benchmark datasets for evaluating metagenomic analysis methods.
Key Features:
- Realistic simulation: Generates simulated metagenomic reads based on actual microbial communities using genomes from all taxonomic domains present in NCBI RefSeq.
- Automatic taxonomic profiling: Determines taxonomic profiles from shotgun metagenomic data and selects reference genomes corresponding to those profiles.
- Habitat-specific benchmarks: Produces datasets that reflect particular ecosystems to enable evaluation of methods, workflows, and parameter choices specific to a metagenomic habitat.
Scientific Applications:
- Benchmarking assembly and binning: Provides habitat-specific simulated datasets to assess the performance of assembly and binning methods across microbiomes.
- Workflow and parameter evaluation: Enables comparison and tuning of computational pipelines and parameters using realistic community compositions.
- Validation of metagenomic analyses: Supports validation of metagenomic interpretation and improves accuracy of downstream analyses.
Methodology:
Determines taxonomic profiles from shotgun metagenomic data, selects matching reference genomes from NCBI RefSeq, and simulates metagenomic reads from those genomes.
Topics
Details
- License:
- GPL-3.0
- Tool Type:
- command-line tool
- Programming Languages:
- Perl
- Added:
- 12/6/2021
- Last Updated:
- 12/6/2021
Operations
Publications
Gerner SM, Graf AB, Rattei T. Tamock: simulation of habitat-specific benchmark data in metagenomics. BMC Bioinformatics. 2021;22(1). doi:10.1186/s12859-021-04154-z. PMID:33932979. PMCID:PMC8088724.
Links
Issue tracker
https://github.com/gerners/tamock/issues