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.
For further information contact Alexander Schliep (alexander@schlieplab.org). This project is connected to the following projects: RemoteHomologues.
Team
Members: Alexander Schliep. Collaborators: Alexander Schönhuth (Centrum Wiskunde & Informatica).
Publications
Bolten et al.. Clustering protein sequences-structure prediction by transitive homology. Bioinformatics 2001, 17:10, 935–41. Pipenbacher. Evaluation and extension of a graph based clustering approach for the detection of remote homologs. Master's Thesis, University of Cologne, 2001. Bolten et al.. Strongly Connected Components can Predict Protein Structure. In Electron. Notes Discret. Math., 8, 10–13, 2001. Extended Abstract, 1st Cologne-Twente Workshop on Graphs and Combinatorial Optimization. Bolten. A graph based clustering method for the detection of remote homolog protein sequences. Master's Thesis, University of Cologne, 2000. In German..