GMAP: a genomic mapping and alignment program for mRNA and EST sequences

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ID: 290557
2005
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Abstract
We introduce GMAP, a standalone program for mapping and aligning cDNA sequences to a genome. The program maps and aligns a single sequence with minimal startup time and memory requirements, and provides fast batch processing of large sequence sets. The program generates accurate gene structures, even in the presence of substantial polymorphisms and sequence errors, without using probabilistic splice site models. Methodology underlying the program includes a minimal sampling strategy for genomic mapping, oligomer chaining for approximate alignment, sandwich DP for splice site detection, and microexon identification with statistical significance testing.On a set of human messenger RNAs with random mutations at a 1 and 3% rate, GMAP identified all splice sites accurately in over 99.3% of the sequences, which was one-tenth the error rate of existing programs. On a large set of human expressed sequence tags, GMAP provided higher-quality alignments more often than blat did. On a set of Arabidopsis cDNAs, GMAP performed comparably with GeneSeqer. In these experiments, GMAP demonstrated a several-fold increase in speed over existing programs.Source code for gmap and associated programs is available at http://www.gene.com/share/gmaphttp://www.gene.com/share/gmap.
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openalex_W2106678197 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Ting‐Di Wu, C.K. Watanabe
Journal BMC Bioinformatics
Year 2005
DOI
10.1093/bioinformatics/bti310
URL
https://academic.oup.com/bioinformatics/article-pdf/21/9/1859/1140761/bti310.pdf
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