Biotechnology - Genomic and Proteomics/IP Profile of Universities working in BGP

Answer the questions:

1. What are the 5 top Universities in this field?
   • Correlate them with their main outputs (Data. Narratives. Tools)
   • Understand and identify cases where these universities are “experimenting” or “adopting” commons based approach. Are they adopting OA policies, for instance? Are they adopting Social Responsible License approaches?
   • Identify these cases and treat them as entities that will also be placed in our mapping device (the quadrants)
   • Identify what universities are the “Microsofts” of the field and what companies are the “IBMs” of the field (Use the questionnaire to guide your research when appropriate - Carol will select specific relevant questions)

Note: I have bolded those projects that appear to be experimenting with commons-based approaches. From initial research, it seems that Stanford is the IBM of the university field, UC San Diego is the Microsoft

• Stanford
  • Department of Biochemistry, School of Medicine (http://biochemistry.stanford.edu/)
    • 135 labs in 11 departments
    • Equipment shared between departments - possible source of collaboration
  • Graduate Training Program in Biotechnology (http://www.stanford.edu/group/biotech/)
    • multidisciplinary, focusing on theoretical, experimental, and computational aspects of the field
  • Genome Technology Center (http://med.stanford.edu/sgtc/)
    • Inventing new processes for genomic research
  • Stanford Medical Informatics (http://smi.stanford.edu/)
    • Interdisciplinary research group focusing on how data is used in biotech research
  • BIO-X (http://biox.stanford.edu/biox/index.html)
    • Specific aim to foster collaboration between scientists, engineers, computer scientists, and clinicians in the biotech sector
• Berkeley
  • Center for Integrative Genomics (http://cigbrowser.berkeley.edu/)
    • Collaborative project between several different departments to compare genome sequences of a wide variety of animals
  • UC Biotech.org (http://ucbiotech.org/)
    • provides educational materials on agriculture and technology
  • Graduate Group in Computational and Genomic Biology (http://computationalbiology.berkeley.edu/)
    • provides training in the intersection of computational biology and genomics
  • Berkeley Bioinformatics Open Source Project
    • Gene Ontology Project: aims to reach consistent descriptions of gene products
  • Division of Genetics, Genomics, and Development (http://mcb.berkeley.edu/)
    • studies replication, structure and evolution of genomes
  • Department of Plant and Microbial Biology (http://pmb.berkeley.edu/)
    • studies plant genomics
• UC San Diego
  • Department of Bioengineering (http://www-bioeng.ucsd.edu/who/)
  • Genomics and Systems Biotechnology Laboratory (http://gsbl.ucsd.edu/)
  • Center for Human Genomics (http://health.ucsd.edu/news/2004/06_30_Genomics.html)
• MIT
  • Whitehead Institute for Biomedical Research (http://www.wi.mit.edu/index.html)
  • Department of Biological Engineering (http://web.mit.edu/be/index.htm)
  • Biotechnology Process Engineering Center (http://web.mit.edu/bpec/)
  • MIT/NIGMS Biotechnology Training Program (http://web.mit.edu/bpec/biotech/index.htm)
    • Trains students to work in multipliscinary manner within the biotech industry
• Harvard
  • Department of Chemistry and Chemical Biology (http://www.chem.harvard.edu/intro/mission.php)
  • Harvard Biotechnology Club (http://www.thebiotechclub.org/index.php)
    • foster events to bridge gap between biotech academia and business
  • Graduate program in Biotechnology (http://www.extension.harvard.edu/biotech/)
  • Program in Quantitative Genomics (http://www.hsph.harvard.edu/research/pqg/research/)
  • HMS and Partners Center for Genetics and Genomics (http://www.hpcgg.org/)
    • promotes genetics and genomics in clinical medicine

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Bibliography for Item 8 in BGP
Biotechnology_-_Genomic_and_Proteomics