FYI…. > Begin forwarded message: > > From: "Lisa Dunnebacke, ADDS/BD2K" <[email protected]> > Date: January 26, 2016 at 2:55:53 PM EST > To: <[email protected]> > Subject: NIH Frontiers in Data Science Lecture - HIVE: A Regulatory NGS Data > Analysis Platform, Friday, Jan 29th, 10am > > The Office of the Associate Director for Data Science invites you to attend > the following lecture as part of the NIH Frontiers in Data Science Lecture > Series. > > TITLE: “High-Performance Integrated Virtual Environment (HIVE): A Regulatory > NGS Data Analysis Platform” > > DATE: Friday, January 29 2016, 10:00AM – 11:00AM > > LOCATION: NIH Main Campus, Building 35A, Room 640 > The event will be broadcast live at: > https://videocast.nih.gov/summary.asp?live=18299&bhcp=1 > > SPEAKERS: Vahan Simonyan, Ph.D., HIVE Lead Scientist at the U.S. Food and > Drug Administration (FDA); Raja Mazumder, Ph.D., HIVE Lead Scientist at > George Washington University (GW) > > ABSTRACT: > The abundance of miscellaneous high-performance computational platforms > available across academia, the healthcare industry, and in government > organizations isn't doing much to close the gap between research and > regulatory analytics. Extra iterations for drug, device, and biologics > approval processes are causing a significant cost increase for medical > product development. High-Performance Integrated Virtual Environment (HIVE), > co-developed by FDA and GW, presents a great opportunity for serving as a > bridge. It is authorized as a regulatory NGS data analysis platform and > provides unique capability for healthcare stakeholders to look into NGS data > from the regulatory perspective of FDA. > > As a distributed storage and computation environment and a multicomponent > cloud infrastructure, HIVE provides secure web access for authorized users to > deposit, retrieve, annotate, and compute biomedical big data and to analyze > the outcomes using web interface visual environments appropriately built in > collaboration with internal and external end users. In addition to the > initial HIVE applications to next generation sequencing, the current universe > of HIVE projects covers tailor-made applications involving dimensionality > analysis, federated and integrated data mapping, modeling, and simulations > that are applicable to basic research, biostatistics, epidemiology, clinical > studies, post-market evaluation, manufacturing consistency, environmental > metagenomics, outbreak detection, and more. > > ABOUT THE SPEAKERS: > > Vahan Simonyan, Ph.D. is the HIVE Lead Scientist at FDA, an author to more > than 50 scientific publications in quantum physics and chemistry, > nanotechnology, biotechnology, population dynamics, and bioinformatics. The > technology developed by Dr. Simonyan and the code-base donated to the U.S. > Government has launched HIVE at FDA. This resulted in an enormous success > resulting in a regulatory compliant R&D IT platform capable of handling > peta-scale data from sequencing projects, post-market analytics, clinical, > and preclinical data analysis. Currently Dr. Simonyan's collaborations span > the scope of +80 medium to large research and regulatory projects with > scientists from government organizations, large healthcare consortia, and > academia. > > Raja Mazumder, Ph.D. is the HIVE Lead Scientist at GW, an Associate Professor > of Biochemistry and Molecular Medicine, and Director of The McCormick Genomic > & Proteomic Center at GW. Prior to joining GW, Raja was faculty at Georgetown > University where he worked on the UniProt project as a Team Lead with > colleagues from the European Bioinformatics Institute and Swiss Institute of > Bioinformatics. Prior to Georgetown, Raja worked at the National Center for > Biotechnology Information (NCBI) as a Bioinformatics Scientist. > > REASONABLE ACCOMMODATION: > Individuals with disabilities who need Sign Language Interpreters and/or > reasonable accommodation to participate in this event should contact Sonynka > Ngosso, at [email protected] or 301-402-9816, and/or the Federal Relay > (1-800-877-8339) at least 5 business days prior to the event. > > ######################################################################## > > To unsubscribe from the BIOINFORMATICS-SIG-L list, click the following link: > http://list.nih.gov/cgi-bin/wa.exe?SUBED1=BIOINFORMATICS-SIG-L&A=1
