Journal Article

ProCope—protein complex prediction and evaluation

Jan Krumsiek, Caroline C. Friedel and Ralf Zimmer

in Bioinformatics

Volume 24, issue 18, pages 2115-2116
Published in print September 2008 | ISSN: 1367-4803
Published online July 2008 | e-ISSN: 1460-2059 | DOI: http://dx.doi.org/10.1093/bioinformatics/btn376
ProCope—protein complex prediction and evaluation

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Summary: Recent advances in high-throughput technology have increased the quantity of available data on protein complexes and stimulated the development of many new prediction methods. In this article, we present ProCope, a Java software suite for the prediction and evaluation of protein complexes from affinity purification experiments which integrates the major methods for calculating interaction scores and predicting protein complexes published over the last years. Methods can be accessed via a graphical user interface, command line tools and a Java API. Using ProCope, existing algorithms can be applied quickly and reproducibly on new experimental results, individual steps of the different algorithms can be combined in new and innovative ways and new methods can be implemented and integrated in the existing prediction framework.

Availability: Source code and executables are available at http://www.bio.ifi.lmu.de/Complexes/ProCope/

Contact: Caroline.Friedel@bio.ifi.lmu.de

Journal Article.  1208 words.  Illustrated.

Subjects: Bioinformatics and Computational Biology

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