Department of Computer Science
 Rutgers University

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Proclust: Protein clustering by transitive homology

Proclust is software package for clustering protein sequences with a graph-based approach which significantly increases the numbers of remote homolog proteins detected. You can use the online server at the ZAIK, University of Cologne or download the software. Proclust is released under the GPL.

Publications

Pipenbacher, P. and Schliep, A. and Schneckener, S. and Schönhuth, A. and Schomburg, D. and Schrader, R.. ProClust: improved clustering of protein sequences with an extended graph-based approach (2002) [details]

Bolten, E. and Schliep, A. and Schneckener, S. and Schomburg, D. and Schrader, R.. Clustering protein sequences-structure prediction by transitive homology (2001) [details]

Pipenbacher, Peter. Evaluation and extension of a graph based clustering approach for the detection of remote homologs (2001) [details]

Bolten, Eva. A graph based clustering method for the detection of remote homolog protein sequences (2000) [details]

Contact: Alexander Schliep (schliep@cs.rutgers.edu).