Maricel G Kann

Summary

Affiliation: University of Maryland
Country: USA

Publications

  1. pmc Correlated evolution of interacting proteins: looking behind the mirrortree
    Maricel G Kann
    Department of Biological Sciences, University of Maryland, Baltimore County, MD 21250, USA
    J Mol Biol 385:91-8. 2009
  2. pmc Advances in translational bioinformatics: computational approaches for the hunting of disease genes
    Maricel G Kann
    University of Maryland, Baltimore County, 1000 Hilltop Circle, Baltimore, MD 21250, USA
    Brief Bioinform 11:96-110. 2010
  3. pmc Domain landscapes of somatic mutations in cancer
    Nathan L Nehrt
    Department of Biological Sciences, University of Maryland, Baltimore County, 1000 Hilltop Circle, Baltimore, MD 21250, USA
    BMC Genomics 13:S9. 2012
  4. pmc Incorporating molecular and functional context into the analysis and prioritization of human variants associated with cancer
    Thomas A Peterson
    University of Maryland, Baltimore County, Baltimore, Maryland 21250, USA
    J Am Med Inform Assoc 19:275-83. 2012
  5. pmc A protein domain-centric approach for the comparative analysis of human and yeast phenotypically relevant mutations
    Thomas A Peterson
    Department of Biological Sciences, University of Maryland, Baltimore County, Baltimore, MD, USA
    BMC Genomics 14:S5. 2013
  6. pmc Towards precision medicine: advances in computational approaches for the analysis of human variants
    Thomas A Peterson
    Department of Biological Sciences, University of Maryland, Baltimore County, 1000 Hilltop Circle, Baltimore, MD 21250, USA Electronic address
    J Mol Biol 425:4047-63. 2013
  7. pmc Toward an automatic method for extracting cancer- and other disease-related point mutations from the biomedical literature
    Emily Doughty
    University of Maryland, Baltimore County, Baltimore, MD 21250, USA
    Bioinformatics 27:408-15. 2011
  8. pmc DMDM: domain mapping of disease mutations
    Thomas A Peterson
    Department of Biological Sciences, University of Maryland, Baltimore County, Baltimore, MD 21250, USA
    Bioinformatics 26:2458-9. 2010

Collaborators

Detail Information

Publications8

  1. pmc Correlated evolution of interacting proteins: looking behind the mirrortree
    Maricel G Kann
    Department of Biological Sciences, University of Maryland, Baltimore County, MD 21250, USA
    J Mol Biol 385:91-8. 2009
    ....
  2. pmc Advances in translational bioinformatics: computational approaches for the hunting of disease genes
    Maricel G Kann
    University of Maryland, Baltimore County, 1000 Hilltop Circle, Baltimore, MD 21250, USA
    Brief Bioinform 11:96-110. 2010
    ..This review highlights the latest advances in the field of translational bioinformatics, focusing on the advances of computational techniques to search for and classify disease genes...
  3. pmc Domain landscapes of somatic mutations in cancer
    Nathan L Nehrt
    Department of Biological Sciences, University of Maryland, Baltimore County, 1000 Hilltop Circle, Baltimore, MD 21250, USA
    BMC Genomics 13:S9. 2012
    ..These highly mutated domains potentially reveal disruptions of protein function necessary for cancer development...
  4. pmc Incorporating molecular and functional context into the analysis and prioritization of human variants associated with cancer
    Thomas A Peterson
    University of Maryland, Baltimore County, Baltimore, Maryland 21250, USA
    J Am Med Inform Assoc 19:275-83. 2012
    ..A statistical method has been developed to assess the significance of disease mutation clusters on protein domains by incorporating domain functional annotations to assist in the functional characterization of novel variants...
  5. pmc A protein domain-centric approach for the comparative analysis of human and yeast phenotypically relevant mutations
    Thomas A Peterson
    Department of Biological Sciences, University of Maryland, Baltimore County, Baltimore, MD, USA
    BMC Genomics 14:S5. 2013
    ..Focusing on two evolutionarily distant organisms, human and yeast, we describe the first inter-species analysis of mutations of phenotypic relevance at the protein domain level...
  6. pmc Towards precision medicine: advances in computational approaches for the analysis of human variants
    Thomas A Peterson
    Department of Biological Sciences, University of Maryland, Baltimore County, 1000 Hilltop Circle, Baltimore, MD 21250, USA Electronic address
    J Mol Biol 425:4047-63. 2013
    ..We expect these resources and tools to become the foundation for understanding the molecular details of genomic variants leading to disease, which in turn will enable the promise of precision medicine...
  7. pmc Toward an automatic method for extracting cancer- and other disease-related point mutations from the biomedical literature
    Emily Doughty
    University of Maryland, Baltimore County, Baltimore, MD 21250, USA
    Bioinformatics 27:408-15. 2011
    ..We introduce a high-throughput computational method for the identification of relevant disease mutations in PubMed abstracts applied to prostate (PCa) and breast cancer (BCa) mutations...
  8. pmc DMDM: domain mapping of disease mutations
    Thomas A Peterson
    Department of Biological Sciences, University of Maryland, Baltimore County, Baltimore, MD 21250, USA
    Bioinformatics 26:2458-9. 2010
    ..DMDM's protein domain view highlights molecular relationships among mutations from different diseases that might not be clearly observed with traditional gene-centric visualization tools...