This article is part of the supplement: European Molecular Biology Network (EMBnet) Conference 2008: 20th Anniversary Celebration. Leading applications and technologies in bioinformatics
Proceedings
GIBA: a clustering tool for detecting protein complexes
-
* Corresponding authors: Charalampos N Moschopoulos mosxopul@ceid.upatras.gr - Sophia Kossida skossida@bioacademy.gr
1 Pattern Recognition Lab, Department of Computer Engineering & Informatics, University of Patras, Patra, Rio, GR-26500, Greece
2 Bioinformatics & Medical Informatics Team, Biomedical Research Foundation of the Academy of Athens, Athens, Soranou Efesiou 4, GR-11527, Greece
3 Bioinformatics/Structural and Computational Biology, European Molecular Biology Laboratory, Heidelberg, Meyerhofstrasse 1, D-69117, Germany
BMC Bioinformatics 2009, 10(Suppl 6):S11 doi:10.1186/1471-2105-10-S6-S11
Published: 16 June 2009Additional files
Additional file 1:
Guide to use GIBA tool.
Format: DOC Size: 503KB Download file
This file can be viewed with: Microsoft Word Viewer
Additional file 2:
Summary of experimental results. The percentage of successful predictions is shown in the first column; the absolute number of valid predicted complexes is shown in the second column as well as the total number of predicted complexes. The mean score of the valid predicted complexes is shown in the third column. The last three columns present the Sensitivity (Sn), the Positive Predictive Value (PPV) and the geometric Accuracy (Acc_g) respectively.
Format: XLS Size: 21KB Download file
This file can be viewed with: Microsoft Excel Viewer