Genome Landscapes of Disease: Strategies to Predict the Phenotypic Consequences of Human Germline and Somatic Variation

PLoS Comput Biol. 2016 Aug 18;12(8):e1005043. doi: 10.1371/journal.pcbi.1005043. eCollection 2016 Aug.
No abstract available

Publication types

  • Editorial
  • Research Support, N.I.H., Extramural

MeSH terms

  • Computational Biology
  • DNA Copy Number Variations
  • Disease*
  • Germ Cells*
  • Humans
  • Phenotype*
  • Polymorphism, Single Nucleotide

Grant support

This project has been funded in whole or in part with Federal funds from the Frederick National Laboratory for Cancer Research, National Institutes of Health, under contract HHSN261200800001E. This research was supported [in part] by the Intramural Research Program of NIH, Frederick National Lab, Center for Cancer Research. The content of this publication does not necessarily reflect the views or policies of the Department of Health and Human Services, nor does it mention trade names, commercial products or organizations, or imply endorsement by the US Government. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.