| Computational methods for protein sequence analysis. | |
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MedLine Citation:
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PMID: 18429149 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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This unit is presented as a guide to addressing the issue of what to do with a protein sequence once it is obtained. A theoretical background for protein sequence analysis is provided first, followed by a discussion of matrix methods for sequence comparison (Matrix Methods for Sequence Comparison: Dot Plots). Sequence similarity searching is then presented, including the BLAST and FASTA databases. Other aspects of protein sequence analysis covered here are alignment methods, scoring matrices, multiple alignments, cluster methods and trees, and identification of functional sites. |
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Authors:
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G Michaels; R Garian |
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Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: Current protocols in protein science / editorial board, John E. Coligan ... [et al.] Volume: Chapter 2 ISSN: 1934-3663 ISO Abbreviation: - Publication Date: 2001 May |
Date Detail:
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Created Date: 2008-04-22 Completed Date: 2008-06-16 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 101287868 Medline TA: Curr Protoc Protein Sci Country: United States |
Other Details:
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Languages: eng Pagination: Unit2.1 Citation Subset: IM |
Affiliation:
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George Mason University, Fairfax, Virginia, USA. |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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Cluster Analysis Computational Biology / methods* Databases, Protein Proteins / genetics* Sequence Alignment / methods Sequence Analysis, Protein / methods* |
| Chemical | |
Reg. No./Substance:
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0/Proteins |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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