Evaluation and improvements of clustering algorithms for detecting remote homologous protein families-Reference-Cited by-同舟云学术

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Evaluation and improvements of clustering algorithms for detecting remote homologous protein families

Published:2015-02-05 Issue:1 Volume:16 Page:
ISSN:1471-2105
Container-title:BMC Bioinformatics
language:en
Short-container-title:BMC Bioinformatics

Author:

Bernardes Juliana S,Vieira Fabio RJ,Costa Lygia MM,Zaverucha Gerson

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Structural Biology

Link

http://link.springer.com/article/10.1186/s12859-014-0445-4/fulltext.html

Reference28 articles.

1. Altschul SF, Gish W, Miller W, Myers EW, Lipman DJ. Basic local alignment search tool. J Mol Biol. 1990; 215:403–10.

2. Brown S, Gerlt J, Seffernick J, Babbitt P. A gold standard set of mechanistically diverse enzyme superfamilies. Genome Biol. 2006; 7:8–1815.

3. Conte LL, Ailey B, Hubbard TJP, Brenner SE, Murzin AG, Chothia C. SCOP: a structural classification of proteins database. Nucleic Acids Res. 2000; 28:257–9.

4. Enright AJ, van Dongen S, Ouzounis CA. An efficient algorithm for large-scale detection of protein families. Nucleic Acids Res. 2002; 30:1575–84.

5. Wittkop T, Emig D, Lange S, Rahmann S, Albrecht M, Morris JH, et al. Partitioning biological data with transitivity clustering. Nat Methods. 2010; 7:419–420.

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