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Biological Network Approaches and Applications in Rare Disease Studies

1
St. Giles Laboratory of Human Genetics of Infectious Diseases, Rockefeller Branch, The Rockefeller University, New York, NY 10065, USA
2
The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
3
Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
*
Author to whom correspondence should be addressed.
Genes 2019, 10(10), 797; https://doi.org/10.3390/genes10100797
Received: 3 September 2019 / Revised: 30 September 2019 / Accepted: 10 October 2019 / Published: 12 October 2019
(This article belongs to the Special Issue Bioinformatic Analysis for Rare Diseases)
Network biology has the capability to integrate, represent, interpret, and model complex biological systems by collectively accommodating biological omics data, biological interactions and associations, graph theory, statistical measures, and visualizations. Biological networks have recently been shown to be very useful for studies that decipher biological mechanisms and disease etiologies and for studies that predict therapeutic responses, at both the molecular and system levels. In this review, we briefly summarize the general framework of biological network studies, including data resources, network construction methods, statistical measures, network topological properties, and visualization tools. We also introduce several recent biological network applications and methods for the studies of rare diseases. View Full-Text
Keywords: biological network; bioinformatics; database; software; application; rare diseases biological network; bioinformatics; database; software; application; rare diseases
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Zhang, P.; Itan, Y. Biological Network Approaches and Applications in Rare Disease Studies. Genes 2019, 10, 797.

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