Development of data-driven knowledge acquisition in computational molecular biology from diverse, distributed, biological data sets with applications in genetic network inference and macromolecular structure-function characterization.
An independent organization affiliated to the National University of Singapore. Research is focused on theoretical approaches aimed at understanding biomolecular mechanisms, the development of computational methods and the experimental verification of predicted structures.
Provides links both to projects and the people involved, comparative dot plots of whole genomes and chromosomal fragments, a browsable ontology of bioinformatics, Comparative interaction tables, 3D visualisation of the yeast protein clusters in the INTERACT database, EMBL-SCALAR, Search at SWISSPROT using Conceptual BLAST.
Computational Biology Research Center at the National Institute of Advanced Industrial Science and Technology. The focus is on bioinformatics in terms of information theory independent from experimental-biology projects.
The IBIVU hosts biostatistics, computer science, genomics, molecular cell physiology and core bioinformatics groups for research and education. Teaching includes an international 2-year bioinformatics master course.
Home of the Bioinformatics Group at the Faculty of Science, Zagreb, Croatia. Research include: codon usage analysis (INCA software package), and microarray data processing in context of metabolic pathway networks (MADNet).
Homepage of the Laboratory of Bioinformatics and Protein Engineering. Provides free access to a number of bioinformatic servers and databases and information about the interdisciplinary group headed by Janusz Bujnicki.
The Theoretical and computational biology group at the MRC Laboratory of Molecular Biology in Cambridge is headed by Cyrus Chothia. The group has a strong interest in genome analysis and protein structure.
The Wold Lab at the California Institute of Technology is interested in the composition, evolution and function of regulatory networks that govern how mammalian cell fates are specified and executed during development and during regeneration.
Group at Charité Berlin developing algorithms and applications in the field of gene ontology, phenotypic analysis, machine learning and modeling of biological networks, using the tools of linear algebra and graph theory.
Provides information on research, led by Dr Valentin Dinu at Arizona State University, into the assessment, improvement and development of computational approaches, software applications and databases.
Worldwide volunteer computing teams harnessing institutional and individual resources to contribute to basic science research. Early projects include protein folding and the search for gravitational waves from deep space.
This is a research group within the Stanford Medical Informatics laboratory directed by Russ Altman, MD, PhD. They focus on the application of computational techniques to problems in molecular biology. They are particularly interested in (1) knowledge-based systems for supporting scientific computation (2) the representation and manipulation of structural uncertainty, (3) and the development of novel representations of structure that are useful for computing.