Michael Hiller

Summary

Affiliation: Max Planck Institute of Molecular Cell Biology and Genetics
Country: Germany

Publications

  1. ncbi Hundreds of conserved non-coding genomic regions are independently lost in mammals
    Michael Hiller
    Department of Developmental Biology, Stanford University, Stanford, California 94305, USA
    Nucleic Acids Res 40:11463-76. 2012
  2. ncbi A "forward genomics" approach links genotype to phenotype using independent phenotypic losses among related species
    Michael Hiller
    Department of Developmental Biology, Stanford University, Stanford, CA 94305, USA
    Cell Rep 2:817-23. 2012
  3. ncbi GREAT improves functional interpretation of cis-regulatory regions
    Cory Y McLean
    Department of Computer Science, Stanford University, Stanford, California, USA
    Nat Biotechnol 28:495-501. 2010

Collaborators

  • Gill Bejerano
  • Cory Y McLean
  • Dave Bristor
  • Shoa L Clarke
  • Craig B Lowe
  • Bruce T Schaar
  • Aaron M Wenger

Detail Information

Publications3

  1. ncbi Hundreds of conserved non-coding genomic regions are independently lost in mammals
    Michael Hiller
    Department of Developmental Biology, Stanford University, Stanford, California 94305, USA
    Nucleic Acids Res 40:11463-76. 2012
    ..Our study uncovers an interesting aspect of the evolution of functional DNA in mammalian genomes. Experiments are necessary to test if these independently lost CNEs are associated with parallel phenotype changes in mammals...
  2. ncbi A "forward genomics" approach links genotype to phenotype using independent phenotypic losses among related species
    Michael Hiller
    Department of Developmental Biology, Stanford University, Stanford, CA 94305, USA
    Cell Rep 2:817-23. 2012
    ....
  3. ncbi GREAT improves functional interpretation of cis-regulatory regions
    Cory Y McLean
    Department of Computer Science, Stanford University, Stanford, California, USA
    Nat Biotechnol 28:495-501. 2010
    ..The utility of GREAT is not limited to ChIP-seq, as it could also be applied to open chromatin, localized epigenomic markers and similar functional data sets, as well as comparative genomics sets...