Document Detail


Computational methods for protein sequence analysis.
MedLine Citation:
PMID:  18429149     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
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.
Authors:
G Michaels; R Garian
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Publication Detail:
Type:  Journal Article    
Journal Detail:
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:
Created Date:  2008-04-22     Completed Date:  2008-06-16     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101287868     Medline TA:  Curr Protoc Protein Sci     Country:  United States    
Other Details:
Languages:  eng     Pagination:  Unit2.1     Citation Subset:  IM    
Affiliation:
George Mason University, Fairfax, Virginia, USA.
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MeSH Terms
Descriptor/Qualifier:
Cluster Analysis
Computational Biology / methods*
Databases, Protein
Proteins / genetics*
Sequence Alignment / methods
Sequence Analysis, Protein / methods*
Chemical
Reg. No./Substance:
0/Proteins

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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