title: MetaNetVar: Pipeline for applying network analysis tools for genomic variants analysis.
abstract: Network analysis can make variant analysis better. There are existing tools like HotNet2 and dmGWAS that can provide various analytical methods. We developed a prototype of a pipeline called MetaNetVar that allows execution of multiple tools. The code is published at https://github.com/NCBI-Hackathons/Network_SNPs. A working prototype is published as an Amazon Machine Image - ami-4510312f .
authors.affiliation: National Center for Biotechnology Information, Bethesda, USA.
authors.forename: Eric
authors.initials: E
authors.lastname: Moyer
authors.affiliation: Molecular, Behavioral Neuroscience Institute, University of Michigan, Ann Arbor, USA.
authors.forename: Megan
authors.initials: M
authors.lastname: Hagenauer
authors.affiliation: National Center for Biotechnology Information, National Library of Medicine, Bethesda, USA.
authors.forename: Matthew
authors.initials: M
authors.lastname: Lesko
authors.affiliation: Bioinformatics and Systems Biology program, University of Delaware, Newark, USA.
authors.forename: Felix
authors.initials: F
authors.lastname: Francis
authors.affiliation: Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, USA.
authors.forename: Oscar
authors.initials: O
authors.lastname: Rodriguez
authors.affiliation: Bioinformatics and Computational Biosciences Branch, National Institute of Allergy and Infectious Diseases, National Institute of Mental Health, Bethesda, USA.
authors.forename: Vijayaraj
authors.initials: V
authors.lastname: Nagarajan
authors.affiliation: Lister Hill National Center for Biomedical Communications, National Library of Medicine, National Institute of Mental Health, Bethesda, USA.
authors.forename: Vojtech
authors.initials: V
authors.lastname: Huser
authors.affiliation: National Center for Biotechnology Information, National Library of Medicine, Bethesda, USA.
authors.forename: Ben
authors.initials: B
authors.lastname: Busby
keywords: genetic variant; network analysis; next generation sequencing; pipeline