Bioinformatic approaches to assigning protein function from novel sequence data

The current pace of functional genomic initiatives and genome sequencing projects has provided researchers with a bewildering array of sequence and biological data to analyze. The disease system-driven approach to identifying key genes frequently identifies nucleotide and protein sequences for which...

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Bibliographic Details
Published inMethods in molecular medicine Vol. 104; p. 313
Main Authors Michalovich, David, Fagan, Richard
Format Journal Article
LanguageEnglish
Published United States 2005
Subjects
Computational Biology
Databases, Genetic
Expressed Sequence Tags
Genome, Human
Genomics - statistics & numerical data
Humans
Internet
Proteins - genetics
Proteins - physiology
Proteomics - statistics & numerical data
Sequence Alignment - statistics & numerical data
Software
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Summary:The current pace of functional genomic initiatives and genome sequencing projects has provided researchers with a bewildering array of sequence and biological data to analyze. The disease system-driven approach to identifying key genes frequently identifies nucleotide and protein sequences for which the gene and protein function are not known in sufficient detail to allow informed follow-up. Using a range of bioinformatic tools and sequence-based clues, most of unassigned sequences can now be annotated. This chapter takes as an example an unannotated expressed sequence tag, describing how to identify its related gene, and how to annotate the encoded protein using sequence, profile, and structure-based annotation methodologies.
ISSN:1543-1894