Metalign
Metalign performs alignment-based metagenomic profiling to estimate taxonomic composition and relative abundances from whole-genome shotgun sequencing reads.
Key Features:
- Alignment-Based Approach: Uses alignment-based methods to assign reads to reference genomes for taxonomic profiling.
- Containment Min Hash Technique: Applies a containment min hash strategy to reduce the reference database size prior to alignment, improving computational efficiency.
- Resolution of Multi-Genome Alignments: Resolves reads that align to multiple genomes to estimate organism relative abundances.
Scientific Applications:
- Microbiome profiling: Determine taxonomic composition and relative abundances of microbial communities from whole-genome shotgun sequencing.
- Medicine: Characterize microbial communities relevant to clinical studies and disease research.
- Ecology: Analyze environmental samples for biodiversity assessment and ecological monitoring.
Methodology:
Applies containment min hash to reduce the reference database, performs alignment of whole-genome shotgun sequencing reads to the reduced database, and resolves multi-genome alignments to estimate organism relative abundances.
Topics
Details
- License:
- MIT
- Tool Type:
- command-line tool
- Programming Languages:
- Python, Shell
- Added:
- 1/18/2021
- Last Updated:
- 2/22/2021
Operations
Publications
LaPierre N, Alser M, Eskin E, Koslicki D, Mangul S. Metalign: Efficient alignment-based metagenomic profiling via containment min hash. Unknown Journal. 2020. doi:10.1101/2020.01.17.910521.