An automated method for finding molecular complexes in large protein interaction networks
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
BMC Bioinformatics 2003, 4:2 doi:10.1186/1471-2105-4-2Published: 13 January 2003
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