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Discovery Informatics and Computing Group

38490 Discovery Informatics and Computing Group http://bio.informatics.iupui.edu/ Bioinformatics group at the Indiana University School of Informatics, IUPUI campus. Biology > Bioinformatics > Research Groups jake   chen   yue   bioinformatics   iupui   discovery   informatics   data   mining   professor   systems   biology   proteomics   research   career   indiana Jan 6, 2008  

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Other links at Biology > Bioinformatics > Research Groups

Research in the field of bioinformatics, using computation to analyze genome sequences, expression datasets and macromolecular structures.
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Facilitates access to and application of biological information.
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BIOMAP Project Website of Bioinformatics Group at Faculty of IT, University of Technology, Sydney, Australia.
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The Mendes research group at the Virginia Bioinformatics Institute
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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.
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Researching new or improved bioinformatics algorithms and means of accelerating algorithms using hardware.
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The Institute for Molecular Bioscience is the centrepiece of a research complex being developed by the University of Queensland in partnership with Australia's CSIRO and other research agencies. Research focus is on animal, biomedical and pharmaceutical research and it has a major division of genomics and bioinformatics.
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Develops and applies computational and statistical methods to detecting and characterizing genetic, genomic, and proteomic biomarkers of common human diseases.
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Based in the Queen's Medical Research Institute (QMRI) at the University of Edinburgh in Scotland. Bioinformatics support and research within the cardiovascular and inflammation medical research centres.
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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.
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