gmap_snpindex
gmap_snpindex constructs SNP index files and supports mapping single nucleotide polymorphisms (SNPs) to reference genomes for SNP-aware cDNA alignment and variant analysis.
Key Features:
- SNP indexing: Builds index files for known SNPs to enable variant-aware mapping.
- cDNA-to-genome alignment: Leverages GMAP's cDNA-to-genome alignment capabilities to identify gene structure in the presence of polymorphisms and sequence errors without relying on probabilistic splice site models.
- Minimal sampling strategy: Uses a minimal sampling strategy for genomic mapping.
- Oligomer chaining: Employs oligomer chaining for approximate alignment.
- Sandwich dynamic programming: Applies sandwich dynamic programming (DP) for splice site detection.
- Microexon detection and testing: Identifies microexons and applies statistical significance testing.
- High splice-site accuracy: Demonstrates >99.3% correct splice-site identification on sequences with 1–3% random mutations.
- Performance: Achieves several-fold speed improvements compared to BLAT and GeneSeqer.
Scientific Applications:
- SNP analysis: Supports identification of genetic variants that may contribute to disease or phenotypic diversity by indexing and mapping SNPs.
- cDNA alignment and gene structure analysis: Enables precise alignment of cDNA sequences to reference genomes to study gene expression and splicing.
- Integration with next-generation sequencing: Provides accurate alignments for large datasets generated by next-generation sequencing technologies for downstream variant and transcript analyses.
Methodology:
Implements a minimal sampling strategy, oligomer chaining for approximate alignment, sandwich dynamic programming for splice site detection, and microexon identification with statistical significance testing.
Topics
Collections
Details
- Maturity:
- Mature
- Tool Type:
- web application
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- C
- Added:
- 12/19/2016
- Last Updated:
- 11/25/2024
Operations
Data Inputs & Outputs
Genetic variation analysis
Outputs
Publications
Wu TD, Watanabe CK. GMAP: a genomic mapping and alignment program for mRNA and EST sequences. Bioinformatics. 2005;21(9):1859-1875. doi:10.1093/bioinformatics/bti310. PMID:15728110.
Afgan E, Baker D, van den Beek M, Blankenberg D, Bouvier D, Čech M, Chilton J, Clements D, Coraor N, Eberhard C, Grüning B, Guerler A, Hillman-Jackson J, Von Kuster G, Rasche E, Soranzo N, Turaga N, Taylor J, Nekrutenko A, Goecks J. The Galaxy platform for accessible, reproducible and collaborative biomedical analyses: 2016 update. Nucleic Acids Research. 2016;44(W1):W3-W10. doi:10.1093/nar/gkw343. PMID:27137889. PMCID:PMC4987906.
Mareuil F, Doppelt-Azeroual O, Ménager H. A public Galaxy platform at Pasteur used as an execution engine for web services. Unknown Journal. 2017. doi:10.7490/f1000research.1114334.1.