- From: Trish Whetzel <plwhetzel@gmail.com>
- Date: Fri, 16 Sep 2011 18:12:48 -0500
- To: HCLS <public-semweb-lifesci@w3.org>
- Message-ID: <CAE4f=nhmkzNUGj6cpYA6cT5+CSRDEG-at=unitvg1nLFO4t+zg@mail.gmail.com>
The next NCBO Webinar will be presented by Dr. Sean Mooney from The Buck Institute on "Using ontologies for hypothesis generation and their application to basic research in aging" at 10:00am PT, Wednesday, September 21. Below is information on how to join the online meeting via WebEx and accompanying teleconference. For the full schedule of the NCBO Webinar presentations see: http://www.bioontology.org/webinar-series. ABSTRACT: Understanding the mechanisms and genetic contributions to human aging is one of the most important challenges to biomedical research. It is now known that slowing the aging process also slows the onset of aging related disease such as cancer or neurodegenerative diseases. In collaboration with Dr. Nigam Shah and the NCBO, we have been collaborating with researchers at the Buck Institute for Research on Aging for several years, and we have together built several tools to aid molecular and cellular biology research. In this presentation, I will describe our novel approach to hypothesis generation from high throughput experiments and using concept enrichment analysis and analysis of gene or protein sets. We are applying our tools to several collaborations in aging and aging related disease. To that end I will provide some examples of our work in Huntington’s disease and the basic biology of aging. SPEAKER BIO: Dr. Sean Mooney is a group leader in the fields of computational biology and bioinformatics, and manages an active NIH funded laboratory. He received his PhD from UCSF in 2001 under Prof. Teri Klein and did an American Cancer Society Fellowship under Prof. Russ Altman at Stanford. In addition to collaborative activities in bioinformatics, his primary research interests focus on building and applying computational models to understand how genes and genetic variation alters phenotype or causes disease at the protein level. He also has an interest in developing new tools for understanding high throughput experimental datasets. His research has led to the development of bioinformatic tools for aiding in characterizing genes and genetic variation data and its effect on proteins and proteomes including MutPred, the In Silico Functional Profiling method, MutDB, S-BLEST, the Catalytic Residue predictor, and PhenoPred. WEBEX DETAILS: ------------------------------------------------------- To join the online meeting (Now from mobile devices!) ------------------------------------------------------- 1. Go to https://stanford.webex.com/stanford/j.php?ED=108527772&UID=0&PW=NZDdmNWNjOGMw&RT=MiM0 2. If requested, enter your name and email address. 3. If a password is required, enter the meeting password: ncbo 4. Click "Join". ------------------------------------------------------- To join the audio conference only ------------------------------------------------------- To receive a call back, provide your phone number when you join the meeting, or call the number below and enter the access code. Call-in toll number (US/Canada): 1-650-429-3300 Global call-in numbers: https://stanford.webex.com/stanford/globalcallin.php?serviceType=MC&ED=108527772&tollFree=0 Access code:929 613 752 Trish Whetzel, PhD Outreach Coordinator The National Center for Biomedical Ontology Ph: 650-721-2378 whetzel@stanford.edu http://www.bioontology.org Now on Twitter: http://twitter.com/#!/bioontology and "Like" us on Facebook: http://www.facebook.com/pages/National-Center-for-Biomedical-Ontology/127444774011153
Received on Friday, 16 September 2011 23:13:17 UTC