An Introduction to Sequence Similarity ("Homology") Searching. Issue 1 (1st June 2013)

• Record Type: Journal Article
• Authors: Pearson, William R.
• Editors: Baxevanis, Andreas D.; Petsko, Gregory A.; Stein, Lincoln D.; Stormo, Gary D.
• Is Part Of: Current protocols in bioinformatics. Volume 42:Issue 1(2013)
• Page Start: 3.1.1
• Page End: 3.1.8
• Publication Date: 2013-06-01
• Subjects: sequence similarity -- homology -- orthlogy -- paralogy -- sequence alignment -- multiple alignment -- sequence evolution; Bioinformatics -- Laboratory manuals; Nucleotide sequence -- Laboratory manuals; Amino acid sequence -- Laboratory manuals; Base Sequence; Amino Acid Sequence; Computational Biology -- methods; Databases, Genetic; Proteins -- analysis; Sequence Analysis -- methods; Sequence Homology; Amino acid sequence; Bioinformatics; Nucleotide sequence; Laboratory Manuals; Laboratory manuals; 570.285
• DOI: 10.1002/0471250953.bi0301s42
• Languages: English
• ISSNs: 1934-3396

Abstract

Abstract: Sequence similarity searching, typically with BLAST, is the most widely used and most reliable strategy for characterizing newly determined sequences. Sequence similarity searches can identify "homologous" proteins or genes by detecting excess similarity— statistically significant similarity that reflects common ancestry. This unit provides an overview of the inference of homology from significant similarity, and introduces other units in this chapter that provide more details on effective strategies for identifying homologs. Curr. Protoc. Bioinform . 42:3.1.1‐3.1.8. © 2013 by John Wiley & Sons, Inc.