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PubMed · 15454675

Bioinformatic approaches to assigning protein function from novel sequence data.

David Michalovich·Richard Fagan
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Abstract

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.

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Computational BiologyDatabases, GeneticExpressed Sequence TagsGenome, HumanGenomicsHumansInternetProteinsProteomicsSequence AlignmentSoftwareJournal Article

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David Michalovich, Richard Fagan. 2005. Bioinformatic approaches to assigning protein function from novel sequence data.. https://doi.org/10.1385/1-59259-836-6%3A313

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