MaGIC: a machine learning tool set and web application for monoallelic gene inference from chromatin.

Journal: BMC bioinformatics
PMID:

Abstract

BACKGROUND: A large fraction of human and mouse autosomal genes are subject to random monoallelic expression (MAE), an epigenetic mechanism characterized by allele-specific gene expression that varies between clonal cell lineages. MAE is highly cell-type specific and mapping it in a large number of cell and tissue types can provide insight into its biological function. Its detection, however, remains challenging.

Authors

  • Svetlana Vinogradova
    Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, 02115, USA.
  • Sachit D Saksena
    Computational and Systems Biology, Massachusetts Institute of Technology, Cambridge, MA, 02139, USA.
  • Henry N Ward
    Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, 02115, USA.
  • Sébastien Vigneau
    Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, 02115, USA. sebastien_vigneau@dfci.harvard.edu.
  • Alexander A Gimelbrant
    Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA, 02115, USA. gimelbrant@mail.dfci.harvard.edu.