SANTA FE, N.M., Feb. 28, 2019 /PRNewswire/ -- The New Mexico IDeA Networks of Biomedical Research Excellence (NM-INBRE) and the National Center for Genome Resources (NCGR) announce the 14th annual New Mexico Bioinformatics, Science and Technology (NMBIST) symposium on Integrative Omics, March 14-15, 2019 at the Inn and Spa at Loretto in downtown Santa Fe, NM.
Breakthroughs within the various biological fields of "omics" (e.g. genomics, transcriptomics, proteomics and metabolomics) have raised our molecular understanding of organisms to an unprecedented level. Individually these areas cannot capture all the intricacies of biological systems and human disease but together they can help elucidate this complex orchestration. Leaders in the field of Integrative Omics will discuss breakthroughs in big-data-driven biological science. Dr. Baliga from the prestigious Institute of Systems Biology will discuss approaches to personalized cancer therapies. Dr. Brunk from UCSD Moores Cancer Research Center will share state-of-the art in silico tools. Dr. Gibson from Georgia Tech will discuss disease course progression indicators. Dr. Greene from UPenn Perelman School of Medicine will discuss 'transfer learning' approaches for rare diseases. Dr. Karchin from Johns Hopkins will present a computational tool that identifies cancer-driver mutations. Dr. Park at Harvard Medical School will discuss characterizing mutations in neurons. Martin Krzywinski from the British Columbia Cancer Research Center will present his widely used data visualization tools for cancer research. Dr. Ritchie from UPenn will discuss machine-learning technologies to understand complex traits. Dr. Zhou from Stanford University will show multi-omic techniques for early disease detection. Dr. Guo from Univ New Mexico will discuss his tool that relates somatic mutations and differential gene expression. Dr. Gherardini at Parker Institute of Cancer Immunotherapy will share the challenges and victories of analyzing multi-omic clinical datasets. Dr. Churchill from WuXi NextCODE will discuss an application for interrogating large omic datasets. Dr. Yang from Illuminating the Druggable Genome (IDG) at the University of New Mexico will discuss a knowledge-based disease classification system. Dr. Sanjay Padhi will talk about predictive analytics using Amazon Web Services (AWS). Our special guest, Rich Brown from the Santa Fe Office of Economic Development will talk about new efforts for job and tech company growth in the city different. Our sponsors this year include WuXi NextCODE, IDG, nanoString, Integrated DNA Technologies, AWS, and Sandia National Laboratories. The conference has special opportunities for students to present their work, learn about technical internships and careers in New Mexico, and attend a career development seminar. The goal of the conference is to provide the southwest region an event covering the latest developments at the intersection of bioscience, technology, mathematics, and software development.
Major funding is provided by the National Institute of General Medical Sciences through the New Mexico IDeA Networks of Biomedical Research Excellence (NM-INBRE) award. If interested in sponsoring this event, contact [email protected]. For more information and to register, please google "integrative omics cvent".
The NCGR is a nonprofit research institute that applies bioinformatics, software engineering and next-generation sequencing to solve the preeminent challenges of 21st century biology through collaborative research and services. To learn more about NCGR, please visit www.ncgr.org.
The New Mexico IDeA Networks of Biomedical Research Excellence champions biomedical and community based research excellence in the state of New Mexico through the development of innovative, supportive and sustainable research environments for faculty and students, community engaging health initiatives, while building a network of lead scientists and educators at the state, regional and national level. For more information, please visit www.nminbre.org.
SOURCE NCGR; NM-INBRE
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