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

Rachel Karchin; Ruth Nussinov

doi:10.1371/journal.pcbi.1005043

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.

Authors

Rachel Karchin¹, Ruth Nussinov^{2

3}

Affiliations

¹ Department of Biomedical Engineering and Institute for Computational Medicine, Department of Oncology, Cancer Biology Program, Johns Hopkins Institutions, Baltimore, Maryland, United States of America.
² Cancer and Inflammation Program, Leidos Biomedical Research, Inc., Frederick National Laboratory for Cancer Research, National Cancer Institute, Frederick, Maryland, United States of America.
³ Sackler Institute of Molecular Medicine, Department of Human Genetics and Molecular Medicine, Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel.

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.