NCBO Seminar Series - Meeting Info for Wed, Feb 4!

Hello All!
 
The National Center for Biomedical Ontology is pleased to announce its next
online Seminar Series on Wednesday, February 4th at 10am PST. This series
aims to showcase new projects, technologies and ideas in biomedical ontology
by featuring the work of a different collaborator each session. It is a
webinar held online, and as such is open to anyone interested, regardless of
location or affiliation.

Below is Information on how to join next week¹s online meeting and
accompanying teleconference. The seminar, Infectious Disease Ontology, will
be presented by Lindsay Cowell, Duke University, with Introduction by Barry
Smith. Please see the abstract for this presentation below.

For a schedule of 2009 presentations through June, or for more information
about the series, please visit the Seminar Series home page:
http://www.bioontology.org/seminar_series.html. Information on how to join
this week¹s webinar is given below. To receive information on or to join any
future meetings, please contact me at skanel@stanford.edu.

The sponsoring organization, the National Center for Biomedical Ontology
(http://www.bioontology.org), is a consortium of leading biologists,
clinicians, informaticians, and ontologists who develop innovative
technology and methods allowing scientists to create, disseminate, and
manage biomedical information and knowledge in machine-processable form.

We hope to see you there.


TITLE: Infectious Disease Ontology

ABSTRACT: The Infectious Disease Ontology (IDO) was initiated as part of the
OBO Foundry with funding from the Burroughs-Wellcome Fund and from the
NIAID. Its goal is to provide a common template for the creation of
ontologies for families of diseases, pathogens, and vectors. The benefits of
this template approach are that it allows for each of the ontologies to be
developed by experts in the domain of a particular ontology while ensuring
that the resulting ontologies and the data annotated in their terms are
interoperable. In addition, providing a template reduces errors and allows
the ontology developers to progress rapidly by reducing the false starts
common to early stage
ontology development.

IDO will be tested using data from Staphylococcus aureus (S.a.)  infection,
one of the most common and potentially deadly human infections, with the
goal of predicting disease genes and drawing consequences for developing new
sorts of patient-centered diagnosis and treatment. Other diseases being
studied by the members of the IDO Consortium include malaria and other
vector-borne diseases, tuberculosis, infective endocarditis, influenza and
dengue fever. Dr. Cowell will outline the structure and goals of the IDO
project, and the work of the IDO consortium. Further information on the
initiative is available at http://infectiousdiseaseontology.org/.


 
 
 Topic: NCBO Seminar Series
 Date: The 1st & 3rd Wednesday of every 1 months
 Time: 10:00 am, Pacific Standard Time (GMT -08:00, San Francisco)
 Meeting Number: 926 719 478
 Meeting Password: ncbomeeting
 
 Please click the link below to see more information about the meeting,
including its agenda, or to join the meeting.
 
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 To join the online meeting
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 1. Go to 
https://stanford.webex.com/stanford/j.php?ED=107799137&UID=0&PW=e29a77d95d57
4f1c09030f46190154 
 2. Enter your name and email address.
 3. Enter the meeting password: ncbomeeting
 4. Click "Join Now".
 5. Follow the instructions that appear on your screen.
 
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 To join the teleconference
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 Call-in toll number (US/Canada): 1-650-429-3300
 Global call-in numbers:
https://stanford.webex.com/stanford/globalcallin.php?serviceType=MC&ED=10779
9137&tollFree=0 
 
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 For assistance 
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 1. Go to https://stanford.webex.com/stanford/mc
 2. On the left navigation bar, click "Support".
 
 You can contact me at:
  skanel@stanford.edu
 1-650-736-0786 
 
 To update this meeting to your calendar program (for example Microsoft
Outlook), click this link:
 https://stanford.webex.com/stanford/j.php?ED=107799137&UID=0&ICS=UMI&LD=1&R
D=2&ST=1&SHA2=sscJxPSrxubkyAnBruXELuZe4XBKeHnhQa70aJiFfUI=