Resources and tools for investigating biomolecular networks in mammals.
Molecular databases serve as primary information resources for the analysis of biological networks providing an essential and invaluable treasure for information exploration. Tools for projecting experimental data sets onto known functional information are a major need to support the analysis of samples produced in clinical research. A new concept is the notation of functional modules, i.e. the characterisation of sets of proteins that perform a defined biological function in cooperation. The determination and analysis of functional modules overcome the limitations of the analysis of individual genes and their properties. Although functional modules are not suitable to fully capture systems properties, they have the potential to unify the information generated by different types of experiments. We describe advances related to the problem of integrating heterogeneous data sets into functional modules for mouse and/or human cellular networks based on publicly available data resources, including advances in the design of ontologies for functional classification, problems of automatic protein functional annotation and integration of microarray data.
Dietmann
Sabine
S
Institute for Bioinformatics, GSF--National Research Center for Health and Environment, Ingolstadter Landstrasse 1, 85764 Neuherberg, Germany. sabine.dietmann@gsf.de
Aguilar
Daniel
D
Mader
Michael
M
Oesterheld
Matthias
M
Ruepp
Andreas
A
Stuempflen
Volker
V
Mewes
Hans-Werner
HW
D000465:Algorithms; D000818:Animals; D016000:Cluster Analysis; D030541:Databases, Genetic; D006801:Humans; D008390:Markov Chains; D051379:Mice; D016571:Neural Networks, Computer; D020411:Oligonucleotide Array Sequence Analysis; D011506:Proteins / Q000737:chemistry / Q000145:classification* / Q000235:genetics; D018511:Systems Integration
D011506:Proteins