metaSNV
metaSNV performs single nucleotide variant (SNV) detection and population-genetic analyses from metagenomic read alignments to reference genomes.
Key Features:
- Input Flexibility: Accepts nucleotide sequence alignments in standard SAM/BAM format as input.
- Comprehensive SNV Calling: Performs SNV calling at both individual-sample and dataset-wide levels.
- Statistical Analysis: Reports allele frequencies and nucleotide diversity for each species in the dataset.
- Comparative Metrics: Computes distance measures that enable comparison of genomic variation across metagenomic samples and tracking of strain-specific variants over time.
- Efficiency and Storage Optimization: Benchmarked against MIDAS, showing faster processing times and a reduced storage footprint without compromising result accuracy.
Scientific Applications:
- Microbial ecology: Enables SNV-based characterization of genetic diversity and population structure across thousands of bacterial and archaeal species.
- Evolutionary biology and population genetics: Supports analyses of allele frequency distributions, nucleotide diversity, genetic distances, and fixation indices within microbial communities.
- Longitudinal metagenomics and strain tracking: Facilitates detection and temporal tracking of strain-specific variants in environmental and host-associated microbiomes.
Methodology:
Uses nucleotide sequence alignments to reference genomes (SAM/BAM) for SNV calling and computes allele frequencies, nucleotide diversity, distance measures and fixation indices across samples.
Topics
Details
- Tool Type:
- command-line tool
- Operating Systems:
- Linux, Mac
- Programming Languages:
- Shell, C++, Python
- Added:
- 5/19/2018
- Last Updated:
- 1/15/2019
Operations
Data Inputs & Outputs
Variant calling
Outputs
Nucleic acid sequence analysis
Outputs
Publications
Costea PI, Munch R, Coelho LP, Paoli L, Sunagawa S, Bork P. metaSNV: A tool for metagenomic strain level analysis. PLOS ONE. 2017;12(7):e0182392. doi:10.1371/journal.pone.0182392. PMID:28753663. PMCID:PMC5533426.
Documentation
User manual
http://metasnv.embl.de/tutorial.html