Genome evolution reveals biochemical networks and functional modules
Christian von Mering, Evgeny M. Zodbnov, Sophia Tsoka, Francesca D. Ciccarelli, Jose B. Pereira-Leal, Christos A. Ouzounis & Peer Bork
European Molecular Biology Laboratory, D-69117 Heidelberg, Meyerhofstrasse 1, Germany
Max-Delbrueck-Center for Molecular Medicine, D-13012 Berlin, Rober-Roessle-Str. 10, Germany
Computational Genomics Group, European Bioinformatics Institute, Cambridge CB10 1SD, UK
 
Supplementary Online Data   [Supplementary Online Text]
 
The following are sets of predicted functional modules in Escherichia coli K12 - using a variety of clustering techniques and clustering parameters.
 
The set marked in red is the one chosen for detailed analysis in the paper.
 
UPGMA mean clusteringSingle LinkageMarkov Clustering
score cutoff 100: module list score cutoff 100: module list inflation parameter 1.5: module list
score cutoff 200: module list score cutoff 200: module list inflation parameter 1.7: module list
score cutoff 300: module list score cutoff 300: module list inflation parameter 2.0: module list
score cutoff 350: module list score cutoff 350: module list inflation parameter 2.3: module list
score cutoff 400: module list score cutoff 400: module list inflation parameter 2.5: module list
score cutoff 450: module list score cutoff 450: module list inflation parameter 2.7: module list
score cutoff 500: module list score cutoff 500: module list inflation parameter 3.0: module list
score cutoff 600: module list score cutoff 600: module list inflation parameter 3.2: module list
score cutoff 700: module list score cutoff 700: module list inflation parameter 3.5: module list