GEM-Mapper v3
GEM-Mapper v3 aligns short-read sequencing reads (up to 1 kilobase) to large reference genomes to enable accurate mapping for genomic analyses including single-nucleotide variant (SNV) and insertion–deletion (InDel) detection.
Key Features:
- Adaptive Gapped Search: Employs an adaptive gapped search mechanism tailored to input characteristics and user-defined settings to identify gapped matches.
- Custom FM-Index Design: Uses a custom FM-Index to index reference genomes, enabling rapid searches and accurate mapping of sequences up to 1 kilobase.
- String Matching by Filtration: Implements string matching by filtration to perform fully tunable exhaustive searches that return all possible matches, including those with gaps.
- Performance and Speed: Reports several-fold faster throughput than comparable state-of-the-art mappers while maintaining mapping accuracy.
Scientific Applications:
- Variant Detection: Benchmarked for SNV and InDel detection and shown to provide consistent detection across large portions of the genome, with remaining challenges in certain genomic regions.
- Genomic Research and Diagnostics: Provides computationally efficient alignment for large-scale genomic research and clinical diagnostic analyses.
- Whole-Genome Sequencing: Applicable to high-throughput whole-genome sequencing workflows as an alternative to targeted next-generation sequencing.
Methodology:
Indexes reference genomes with a custom FM-Index, applies adaptive gapped search tailored to input characteristics, and uses string matching by filtration to perform tunable exhaustive searches that return all matches including gaps.
Topics
Details
- License:
- GPL-3.0
- Maturity:
- Mature
- Cost:
- Free of charge
- Tool Type:
- command-line tool
- Operating Systems:
- Linux, Mac
- Added:
- 7/17/2018
- Last Updated:
- 11/25/2024
Operations
Data Inputs & Outputs
Genome indexing
Publications
Marco‐Sola S, Ribeca P. Efficient Alignment of Illumina‐Like High‐Throughput Sequencing Reads with the GEnomic Multi‐tool (GEM) Mapper. Current Protocols in Bioinformatics. 2015;50(1). doi:10.1002/0471250953.bi1113s50. PMID:26094690.
Marco-Sola S, Sammeth M, Guigó R, Ribeca P. The GEM mapper: fast, accurate and versatile alignment by filtration. Nature Methods. 2012;9(12):1185-1188. doi:10.1038/nmeth.2221. PMID:23103880.
Laurie S, Fernandez‐Callejo M, Marco‐Sola S, Trotta J, Camps J, Chacón A, Espinosa A, Gut M, Gut I, Heath S, Beltran S. From Wet‐Lab to Variations: Concordance and Speed of Bioinformatics Pipelines for Whole Genome and Whole Exome Sequencing. Human Mutation. 2016;37(12):1263-1271. doi:10.1002/humu.23114. PMID:27604516. PMCID:PMC5129537.
Downloads
- Source codehttps://github.com/smarco/gem3-mapperGitHub Repository