MGmapper
MGmapper assigns NGS reads to reference sequences and generates taxonomic annotations for species- and strain-level metagenomic analysis.
Key Features:
- Reference-Based Sequence Assignment: Processes raw NGS data by mapping reads against reference databases for sequence assignment.
- Post-Processing Analysis: Applies a post-processing step that refines taxonomy annotations and reduces false positives.
- High Accuracy in Taxonomy Assignment: In a benchmark using an in-vitro bacterial mock community (8 genera, 11 species, 12 strains), MGmapper achieved 100% correct genus- and species-level assignments after post-processing and 75% sensitivity and precision at strain level.
- Comparative Performance: Assigned taxonomy at the species level using 84.8% of sequence reads versus Kraken's 70.5%, with both tools identifying all species without false positives.
- Extensive Read Count Statistics: Generates detailed read count statistics for accepted and rejected taxonomy annotations in plain text and Excel formats.
- Custom Database Support: Supports use of custom reference databases for sequence assignment.
Scientific Applications:
- Metagenomic community profiling: Enables species- and strain-level characterization of microbial communities from NGS data.
- Pathogen detection: Supports detection and taxonomic assignment of pathogenic bacteria at species and strain resolution.
- Ecological and biodiversity studies: Provides high-confidence taxonomic annotations useful for ecological surveys and biodiversity analyses.
Methodology:
Maps NGS reads against reference databases, performs a post-processing refinement of taxonomy annotations, and outputs read count statistics in plain text and Excel formats.
Topics
Details
- Tool Type:
- web application
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- PHP
- Added:
- 6/30/2018
- Last Updated:
- 11/25/2024
Operations
Publications
Petersen TN, Lukjancenko O, Thomsen MCF, Maddalena Sperotto M, Lund O, Møller Aarestrup F, Sicheritz-Pontén T. MGmapper: Reference based mapping and taxonomy annotation of metagenomics sequence reads. PLOS ONE. 2017;12(5):e0176469. doi:10.1371/journal.pone.0176469. PMID:28467460. PMCID:PMC5415185.