Sean Mooney

Summary

Affiliation: Buck Institute for Age Research
Country: USA

Publications

  1. pmc STOP using just GO: a multi-ontology hypothesis generation tool for high throughput experimentation
    Tobias Wittkop
    Buck Institute for Research on Aging, Novato, CA, USA
    BMC Bioinformatics 14:53. 2013
  2. pmc Collaborative software for traditional and translational research
    Ari E Berman
    Buck Institute for Research on Aging, Bioinformatics Core, Novato, CA 94945, USA
    Hum Genomics 6:21. 2012
  3. pmc Functional organization and its implication in evolution of the human protein-protein interaction network
    Yiqiang Zhao
    Buck Institute for Research on Aging, Novato, California, USA
    BMC Genomics 13:150. 2012

Research Grants

Collaborators

Detail Information

Publications3

  1. pmc STOP using just GO: a multi-ontology hypothesis generation tool for high throughput experimentation
    Tobias Wittkop
    Buck Institute for Research on Aging, Novato, CA, USA
    BMC Bioinformatics 14:53. 2013
    ..Here, we developed and evaluated a tool for hypothesis generation from gene or protein lists using ontological concepts present in manually curated text that describes those genes and proteins...
  2. pmc Collaborative software for traditional and translational research
    Ari E Berman
    Buck Institute for Research on Aging, Bioinformatics Core, Novato, CA 94945, USA
    Hum Genomics 6:21. 2012
    ..Here, we describe formal technological requirements for such efforts and we review several software solutions that can effectively improve the organization, communication, and formalization of collaborations in biomedical research today...
  3. pmc Functional organization and its implication in evolution of the human protein-protein interaction network
    Yiqiang Zhao
    Buck Institute for Research on Aging, Novato, California, USA
    BMC Genomics 13:150. 2012
    ..The current stochastic models of evolution, however, grow the network without consideration for biological function and natural selection...

Research Grants7

  1. Informatic profiling of clinically relevant mutation
    Sean Mooney; Fiscal Year: 2009
    ..Together this Recovery Act proposal will fund two groups in bioinformatics and will support trainees, technical staff, and two faculty members. ..
  2. Informatic profiling of clinically relevant mutation
    Sean Mooney; Fiscal Year: 2009
    ..Thus, we will link clinical observation with molecular phenotypes by building a useful database and new models of how mutations cause disease. ..
  3. Informatic profiling of clinically relevant mutation
    Sean D Mooney; Fiscal Year: 2010
    ..Thus, we will link clinical observation with molecular phenotypes by building a useful database and new models of how mutations cause disease. ..