UASMAs (Universal Automated SNP Mapping Algorithms): a set of algorithms to instantaneously map SNPs in real time to aid functional SNP discovery
Summary: UASMAs integrate MAQ, BWT-SW, Bowtie, SOAP2, and BWA to automate real-time SNP localization by chromosome position. Bowtie/BWA components outperform BLAST on longer reads, improving recall and precision for accurate, deduplicated dbSNP ingestion. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. James T.L. Mah (Institute for Infocomm Research)
- 2. Danny C.C. Poo (National University of Singapore)
- 3. Shaojiang Cai (National University of Singapore)
BibTeX Citation
@article{mah_vldb10,
title = {{UASMAs (Universal Automated SNP Mapping Algorithms): a set of algorithms to instantaneously map SNPs in real time to aid functional SNP discovery}},
author = {Mah, James T.L. and Poo, Danny C.C. and Cai, Shaojiang},
journal = {PVLDB},
series = {{VLDB} '10},
volume = {3},
number = {2},
pages = {1406--1409},
doi = {10.14778/1920841.1921013},
url = {https://doi.org/10.14778/1920841.1921013},
year = {2010}
}
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