MOSAIK: A hash-based algorithm for accurate next-generation sequencing read mapping
Wan-Ping Lee (1), Michael Stromberg (1, 2), Alistair Ward (1), Chip, Stewart (1, 3), Erik Garrison (1), Gabor T. Marth (1) ((1) Department of, Biology, Boston College, Chestnut Hill, MA, (2) Illumina, Inc., San Diego,, CA, (3) Broad Institute of Harvard
TL;DR
MOSAIK is a hash-based algorithm designed for precise mapping of short reads in next-generation sequencing, crucial for large-scale genomic projects and clinical research.
Contribution
The paper introduces MOSAIK, a novel hash-based read mapper that improves accuracy in next-generation sequencing data analysis.
Findings
Widely used in 1000 Genomes Project
Effective in human clinical studies
Applicable to various species' genomes
Abstract
This paper presents an accurate short-read mapper for next-generation sequencing data which is widely used in the 1000 Genomes Project, and human clinical and other species genome studies.
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