Open AccessTranslation initiation start prediction in human cDNAs with high accuracy
Author(s) -
Artemis G. Hatzigeorgiou
Publication year - 2002
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/18.2.343
Subject(s) - computer science , annotation , start codon , coding (social sciences) , human genome , artificial intelligence , algorithm , genome , machine learning , computational biology , genetics , biology , gene , mathematics , statistics , messenger rna
Correct identification of the Translation Initiation Start (TIS) in cDNA sequences is an important issue for genome annotation. The aim of this work is to improve upon current methods and provide a performance guaranteed prediction.
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