Literature DB >> 15284097

CLANS: a Java application for visualizing protein families based on pairwise similarity.

Tancred Frickey1, Andrei Lupas.   

Abstract

SUMMARY: The main source of hypotheses on the structure and function of new proteins is their homology to proteins with known properties. Homologous relationships are typically established through sequence similarity searches, multiple alignments and phylogenetic reconstruction. In cases where the number of potential relationships is large, for example in P-loop NTPases with many thousands of members, alignments and phylogenies become computationally demanding, accumulate errors and lose resolution. In search of a better way to analyze relationships in large sequence datasets we have developed a Java application, CLANS (CLuster ANalysis of Sequences), which uses a version of the Fruchterman-Reingold graph layout algorithm to visualize pairwise sequence similarities in either two-dimensional or three-dimensional space. AVAILABILITY: CLANS can be downloaded at http://protevo.eb.tuebingen.mpg.de/download.

Mesh:

Substances:

Year:  2004        PMID: 15284097     DOI: 10.1093/bioinformatics/bth444

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  320 in total

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9.  Lipid droplet and early autophagosomal membrane targeting of Atg2A and Atg14L in human tumor cells.

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10.  Structural and evolutionary classification of Type II restriction enzymes based on theoretical and experimental analyses.

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