Larry Singh

Summary

Affiliation: University of Pennsylvania
Country: USA

Publications

  1. ncbi CTCF binding site classes exhibit distinct evolutionary, genomic, epigenomic and transcriptomic features
    Kobby Essien
    Penn Center for Bioinformatics, Department of Genetics, 415 Curie Boulevard, University of Pennsylvania, Philadelphia, PA 19104, USA
    Genome Biol 10:R131. 2009
  2. ncbi Correlated changes between regulatory cis elements and condition-specific expression in paralogous gene families
    Larry N Singh
    Penn Center for Bioinformatics, Department of Genetics, University of Pennsylvania, Philadelphia, PA, USA
    Nucleic Acids Res 38:738-49. 2010
  3. ncbi Mimosa: Mixture model of co-expression to detect modulators of regulatory interaction
    Matthew Hansen
    Department of Genetics, Penn Center for Bioinformatics, University of Pennsylvania, Pennsylvania, USA
    Algorithms Mol Biol 5:4. 2010

Collaborators

  • Sridhar Hannenhalli
  • Matthew Hansen
  • Kobby Essien
  • Logan Everett
  • Marisa S Bartolomei
  • Sebastien Vigneau
  • Sofia Apreleva

Detail Information

Publications3

  1. ncbi CTCF binding site classes exhibit distinct evolutionary, genomic, epigenomic and transcriptomic features
    Kobby Essien
    Penn Center for Bioinformatics, Department of Genetics, 415 Curie Boulevard, University of Pennsylvania, Philadelphia, PA 19104, USA
    Genome Biol 10:R131. 2009
    ..It is possible that the differences in CTCF-DNA conformation at different binding sites underlie CTCF's functional diversity. If so, the CTCF binding sites may belong to distinct classes, each compatible with a specific functional role...
  2. ncbi Correlated changes between regulatory cis elements and condition-specific expression in paralogous gene families
    Larry N Singh
    Penn Center for Bioinformatics, Department of Genetics, University of Pennsylvania, Philadelphia, PA, USA
    Nucleic Acids Res 38:738-49. 2010
    ..Our work presents a novel means of investigating the cis regulatory changes potentially mediating expression divergence in paralogous gene families under specific conditions...
  3. ncbi Mimosa: Mixture model of co-expression to detect modulators of regulatory interaction
    Matthew Hansen
    Department of Genetics, Penn Center for Bioinformatics, University of Pennsylvania, Pennsylvania, USA
    Algorithms Mol Biol 5:4. 2010
    ..CONCLUSIONS: While limited in some ways, as discussed, the work represents a novel approach to mine expression data and detect potential modulators of regulatory interactions...