Join us at the Great Lakes Bioinformatics Conference 2013 in Pittsburgh, PA!

SAVE THE DATE!
GLBIO 2014
May 16 - 18, 2014
Cincinnati Children’s Hospital Medical Center
Cincinnati, Ohio.
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Program Book (pdf)
>> Click Here <<

The conference is organized by the Great Lakes Bioinformatics Consortium to provide an interdisciplinary forum for the discussion of research findings and methods. An important goal for the conference is to foster long term collaborative relationships and networking opportunities within the domain of computational approaches to biology. GLBIO 2013 is co-hosted by Carnegie Mellon University and the University of Pittsburgh, with the conference taking place on the Carnegie Mellon campus. The program will include oral presentations, poster presentations, invited keynote speakers and tutorials.

Mark your calendar today and join us at GLBIO 2013, May 14-16, 2013.


ONSITE REGISTRATION
Registration will be in the Wean Commons (1st Floor) of University Center on Monday, May 13 from 4pm to 6pm and again Tuesday, May 14 at 8:00am. The registration desk will be open throughout the conference hours.


NEW IN 2013, THE GLBIO CAREER FAIR! Connecting employers with job seekers in computational biology and bioinformatics.

  • Employers/Recruiters
    • Post jobs
    • online at the GLBIO website (link is forthcoming) prior to and during the conference
    • onsite at conference jobs board
    • on the ISCB Careers site for 90 days after the conference.

Sign up now! (Click here)

  • Job Seekers
    • Search job postings freely
    • Network and schedule interviews
    • Resume/CV review and one-on-one career advice available throughout the conference
    • Attend a career development session

The CV, the Resume, and the Scientist's Job Search: What to Use, When and Why
Presenter: Joe Tringali
Session Sponsor: FASEB MARC Program

Any job search is, at its very core, a self marketing campaign. The best strategy is one that targets your message to the specific audience in order to help them move your candidacy forward. In this session, we will discuss who the audience may be, the message you might wish to convey, the vehicle in which it is conveyed, and the concept of message consistency. Our objective is to maximize the return you get on your efforts

Sponsors and Exhibitors will get the benefit of complimentary posting(s) with their booths or sponsorship. The packages are listed below.


CLICK HERE to download the promotional flyer (pdf).



KEYNOTES

Ivet Bahar
University of Pittsburgh
www.ccbb.pitt.edu/Faculty/bahar/

Title: Protein Dynamics: Relevance to Sequence Evolution and Drug Discovery

> Click here for presentation details <

Ziv Bar-Joseph
Carnegie Mellon University
www.cs.cmu.edu/~zivbj/

Title: Reconstructing Dynamic Networks in Development and Disease

> Click here for presentation details <

Jing Li
Case Western Reserve University
http://engr.case.edu/li_jing/
Title: Haplotype Reconstruction in Large Pedigrees: Recent Development and Applications

> Click here for presentation details <

Isidore Rigoutsos
Thomas Jefferson University
http://cm.jefferson.edu/people/rigoutsos.html

Title: Unraveling the Rules of MicroRNA Targeting: Towards an "Expanded" Model

> Click here for presentation details <

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 









EDUCATION SESSION - Wednesday, May 15, 2013
3:45pm – 5:30pm, Location: Connan

Educating Biologists and Bioinformatics Professionals for the Future - Are We Getting It Right?
Panel Co-Chairs: Guenter Tusch, Grand Valley State U, and Sarah Elgin,Washington U in St. Louis


TUTORIAL SESSIONS - Tuesday, May 14, 2013, Location: McConomy

TUTORIAL 1
9:00 am - 11:00 am
Spatial Rule-based Modeling of Cellular Biochemistry with MCell/BioNetGen/CellBlender

James Faeder, University of Pittsburgh School of Medicine
Markus Dittrich, Pittsburgh Supercomputing Center
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TUTORIAL 2
12:00 pm - 2:00 pm
Exploring and Enabling Biomedical Data Analysis with Galaxy
Chair: Anton Nekrutenko, Penn State University
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TUTORIAL 3
2:30 pm - 4:30 pm
Machine Learning in High Dimension for Genomic Data Analysis

Chairs: Seyoung Kim, Machine Learning in Biology



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