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Artificial Intelligence Research Laboratory at Iowa State University
38464
Artificial Intelligence Research Laboratory at Iowa State University
http://www.cs.iastate.edu/~honavar/aigroup.html
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.
Biology > Bioinformatics > Research Groups
artificial intelligence cognitive science neural networks autonomous robots automata induction computational learning theory organizational data mining knowledge discovery visualization decision support systems distributed
Jan 6, 2008
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Other links at Biology > Bioinformatics > Research Groups
Main web site for the UCLA Bioinformatics program.
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AG BIODV is a research group at the GSF National Research Center for Environment and Health. We develop software tools for sequence and promoter analysis.
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Home page of the Molecular Information Theory group at the Center for Cancer Research Nanobiology Program, NIH.
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A bioinformatics research centre with interests such as protein structure prediction and biocomputing. Provides useful software including some they have developed.
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An Israeli lab focussing on: determination of T-cell epitopes along a protein sequence, protein-DNA interaction in transcription regulation, genome-scale analysis, sequence-structure relationship.
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Focuses on development of algorithms and software tools for the detection and analysis of novel patterns and repeats in DNA and RNA sequences.
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Bioinformatics and computational biology research.
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8. GeneSilico
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.
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The mission of this organization is to address fundamental questions in the life sciences and provide information and analytical resources to the wider biology research community.
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The University of California, Santa Cruz Bioinformatics group built the tools Genie for gene-finding and SAM for hidden Markov models. Interests include assembling the human genome, protein structure prediction, stochastic context-free grammars for RNA alignment.
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