In silico pattern-based analysis of the human cytomegalovirus genome.
Ontology highlight
ABSTRACT: More than 200 open reading frames (ORFs) from the human cytomegalovirus genome have been reported as potentially coding for proteins. We have used two pattern-based in silico approaches to analyze this set of putative viral genes. With the help of an objective annotation method that is based on the Bio-Dictionary, a comprehensive collection of amino acid patterns that describes the currently known natural sequence space of proteins, we have reannotated all of the previously reported putative genes of the human cytomegalovirus. Also, with the help of MUSCA, a pattern-based multiple sequence alignment algorithm, we have reexamined the original human cytomegalovirus gene family definitions. Our analysis of the genome shows that many of the coded proteins comprise amino acid combinations that
SUBMITTER: Rigoutsos I
PROVIDER: S-EPMC150618 | biostudies-literature | 2003 Apr
REPOSITORIES: biostudies-literature
ACCESS DATA