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Homology search for genes
Author(s) -
Xuefeng Cui,
Tomáš Vinař,
Broňa Brejová,
Dennis Shasha,
Ming Li
Publication year - 2007
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btm225
Subject(s) - gene , homology (biology) , gene prediction , genome , annotation , gene annotation , exon , genetics , computational biology , biology , computer science , human genome , ensembl , genomics
Life science researchers often require an exhaustive list of protein coding genes similar to a given query gene. To find such genes, homology search tools, such as BLAST or PatternHunter, return a set of high-scoring pairs (HSPs). These HSPs then need to be correlated with existing sequence annotations, or assembled manually into putative gene structures. This process is error-prone and labor-intensive, especially in genomes without reliable gene annotation.

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