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Open Access Highly Accessed Methodology article

An automated method for finding molecular complexes in large protein interaction networks

Gary D Bader12 and Christopher WV Hogue1*

Author Affiliations

1 Samuel Lunenfeld Research Institute, Mt. Sinai Hospital, Toronto ON Canada M5G 1X5, Dept. of Biochemistry, University of Toronto, Toronto ON Canada M5S 1A8

2 Current address: Memorial Sloan-Kettering Cancer Center 1275 York Avenue, Box 460, New York, NY, 10021, USA

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BMC Bioinformatics 2003, 4:2  doi:10.1186/1471-2105-4-2

Published: 13 January 2003

Additional files

Additional File 1:

AllYeastPredictedComplexes.zip Zip file containing Pajek .net and annotation files for all 209 complexes found using MCODE on the set of all yeast interactions reported here. Various report files from MCODE are also included as well as basic instructions for using Pajek.

Format: ZIP Size: 510KB Download file

Open Data