10.1093/bioinformatics/btm521
Crossref journal-article
Oxford University Press (OUP)
Bioinformatics (286)
Abstract

AbstractSummary: PfamAlyzer is a Java applet that enables exploration of Pfam domain architectures using a user-friendly graphical interface. It can search the UniProt protein database for a domain pattern. Domain patterns similar to the query are presented graphically by PfamAlyzer either in a ranked list or pinned to the tree of life. Such domain-centric homology search can assist identification of distant homologs with shared domain architecture.Availability: PfamAlyzer has been integrated with the Pfam database and can be accessed at http://pfam.cgb.ki.se/pfamalyzer.Contact:  Erik.Sonnhammer@ki.se

Bibliography

Hollich, V., & Sonnhammer, E. L. L. (2007). PfamAlyzer: domain-centric homology search. Bioinformatics, 23(24), 3382–3383.

Authors 2
  1. Volker Hollich (first)
  2. Erik L.L. Sonnhammer (additional)
References 3 Referenced 13
  1. 10.1093/nar/gkh039 / Nucleic Acids Res / SCOP database in 2004: refinements integrate structure and sequence family data by Andreeva (2004)
  2. 10.1093/nar/gki070 / Nucleic Acids Res / The Universal Protein Resource (UniProt) by Bairoch (2005)
  3. 10.1093/nar/gkj149 / Nucleic Acids Res / Pfam: clans, web tools and services by Finn (2006)
Dates
Type When
Created 17 years, 9 months ago (Oct. 31, 2007, 8:33 p.m.)
Deposited 2 years, 3 months ago (May 14, 2023, 11:51 a.m.)
Indexed 1 year, 2 months ago (June 4, 2024, 8:54 p.m.)
Issued 17 years, 9 months ago (Oct. 31, 2007)
Published 17 years, 9 months ago (Oct. 31, 2007)
Published Online 17 years, 9 months ago (Oct. 31, 2007)
Published Print 17 years, 8 months ago (Dec. 15, 2007)
Funders 0

None

@article{Hollich_2007, title={PfamAlyzer: domain-centric homology search}, volume={23}, ISSN={1367-4803}, url={http://dx.doi.org/10.1093/bioinformatics/btm521}, DOI={10.1093/bioinformatics/btm521}, number={24}, journal={Bioinformatics}, publisher={Oxford University Press (OUP)}, author={Hollich, Volker and Sonnhammer, Erik L.L.}, year={2007}, month=oct, pages={3382–3383} }