Bioinformatics research groups
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[edit] Bioinformatics research groups - Web Resources
Bioinformatics Analysis Core, University of Pittsburgh
Comprehensive high-dimensional analysis optimization research unit with fee-for-service analysis.
Cranfield Bioinformatics Group
The Cranfield chemometrics and bioinformatics group focusses on post genomic bioinformatics, in the following main research areas:
- Bioinformatics for mass spectrometry based proteomics.
- Expression informatics and systems biology.
- Chemometrics for interpretation of chemical & metabolomic data.
- High performance computing and knowledge technologies.
UCSC Bioinformatics
The Computational Biology group at UCSC is dedicated to the discovery and implementation of algorithms that facilitate the understanding of biological processes. Our work emphasises the application of statistical and machine learning techniques. Because these methods are often compute-intensive, we strive to create algorithms and heuristics that are computationally efficient on serial and parallel computers. Members of the group study the primary (sequence), secondary (folding), and tertiary (3-dimensional) structures of DNA, RNA and protein sequences
Penn State Bioinformatics Group
Providing PipMaker, MultiPipMaker, GALA (Genome Alignment and Annotation Database), EnteriX, PipTools, Laj (Interactive aligmenet viewer) and BlastZ.
| DPL Forum: Too few categories! |
Glasgow Bioinformatics Research Centre
Environment for collaborative interdisciplinary research in Bioinformatics in Scotland. The Centre is directed by Professor David Gilbert, and has a rapidly expanding strong and active research team, with backgrounds ranging from molecular biology to theoretical computer science. Current research activities in the Centre range over a wide spectrum of application areas in the biomedical and life sciences, and employ a wide range of techniques from computing science, reflecting the richness of research in life sciences and computing at Glasgow. Interests include software integration, algorithm design, computation with constraints, computations over graphs, knowledge discovery, machine learning
Computational Biology Unit at Bergen
The Computational Biology Unit (CBU) is a new research center at University of Bergen, inaugurated Jan 1, 2003. Inge Jonassen is heading CBU. The Liberles Research Group works in molecular evolution and phylogeny. The Reuter Research Group works on protein modeling.
Sean Eddy Lab
Probabilistic modeling and formal grammars. The primary focus of our research is on algorithm development in computational biology. The tools we develop are based on full probabilistic (Bayesian) models of biological sequence and structure. We think about these models in the context of the Chomsky hierarchy of formal grammars. Hidden Markov models (stochastic regular grammars) are useful for primary structure analysis of proteins and DNA. Stochastic context-free grammars are ideal for analysis of RNA secondary structure.
Bioinformatics Team, Centres for Cardiovascular Science and Inflammation Research, University of Edinburgh
The team, led by Dr Donald Dunbar, supports two large biomedical research centres. Work involves microarray data mining, database and software design and development, genome analysis, and biomedical text mining.
Alggen
Genetic Algorithms. ALGGEN is the acronym for the Algorithmics and Genetics Group, part of the Theoretical Computer Science Group in the Software Department (LSI) of the Technical University of Catalonia (UPC) and part of the CEPBA-IBM Research Institute (CIRI)
Bergen Bioinformatics Group
The bioinformatics group focuses on the development of new methods and programs aiming to help solving molecular biology problems. It includes analysis of nucleotide and protein sequences and structures. In addition we work on problems within functional genomics and especially on the analysis of data on the activity of genes and gene products (proteins). General techniques from a variety of fields are being used, including algorithm development, formal languages, database- and knowledge technology.
The Barton Group
The primary emphasis of the groups research is on the computational analysis and prediction of the function and three-dimensional structure of proteins from their amino acid sequence.
Evolutionary Trace (ET)-Lichtarge Lab - Baylor College of Medicine,
The lab combines computation and experiments to study 3 areas of protein structure-function: the molecular basis of catalysis and interaction, the design of peptides and proteins, and the annotation of protein sequence and structure.
