
Submission Deadline: February 21, 2011
Requests for late submission may be sent to glbio@iscb.org for committee
consideration.
This call for tutorials is an invitation to scientists and professionals working in the fields of bioinformatics and computational biology to submit high quality tutorials for presentation at GLBIO 2011.
Tutorials should be designed as two hour sessions.
Tutorials take the form of presentations that may include practical components where appropriate.
The purpose of the tutorial program is to provide participants with lectures and instruction covering either well-established or new "cutting-edge" topics, relevant to the bioinformatics field. It offers participants an opportunity to get an introduction to important established topics in bioinformatics, to learn about new areas of bioinformatics research, or to develop advanced skills in areas about which they are already knowledgeable. Tutorials serve an educational function and are expected to provide a balanced perspective on a field of research. They should not focus on the presenters' own research or software.
Submitting your tutorial proposal:
Please prepare a written proposal, not to exceed 4 pages, describing your proposed tutorial session as outlined below.
Please save the template file using the session type and submitter last name. For example...if the first person submitting the proposal is John Doe, then save to “invitedsession_doe.pdf” and submit the file via the submissions website at: http://www.iscb.org/submissions/index.php?id=89
Proposals should include the following information:
Title: Please provide a short informative title (max. 20 words). The title must be attractive and should make a reader curious. This title will be used on the website and in printed materials.
Topic Area: Please list the main topic area.
List Main Presenter and additional presenters (if known at this time), include for each the following:
Suitability of this tutorial for GLBIO:
Please provide a brief statement here as to why you think this tutorial will fit the multi-disciplinary GLBIO audience, emphasizing:
50-word abstract: Please provide a brief explanatory abstract. This will be used for advertising your tutorial so please make it clear and appealing to potential attendees.
Tutorial level: Introductory/Advanced
Requirements: please state clearly what prior knowledge you expect your participants to have, such as “an introductory knowledge of statistics” or “suitable for those already working with expression data”. Please also indicate whether the tutorial will include a practical component so that participants can be informed that they are required to bring their own laptops for the session.
Financial constraints: Tutorial presenters must pay their expenses, including registration, to participate at the meeting. Therefore, the organizers highly encourage tutorial organizers to seek independent funding, and to include any commitment that they may have secured in the proposal. GLBIO will help in the administrative aspects of assigning the rooms, announcements and adding the detailed schedule to the conference program. Note that the GLBIO cannot financially support the speakers or the tutorial organizers.
Notification date: All submissions will be evaluated by a committee. Submitters will be notified by Tuesday, March 21, 2011 if the tutorial session has been selected for presentation at the GLBIO2011 Conference. Following notification of acceptance, the detailed schedule, names and affiliations of speakers, presentation titles and short abstracts will be required to be submitted before April 11, 2011, for inclusion in printed materials.
We encourage organizers of tutorials to have printed tutorial workbooks for each tutorial participant. We anticipate approximately 100 attendees at tutorial sessions.
Thank you for your submission.
For more information please contact the GLBIO Program Chairs:
James Cavalcoli - cavalcol@umich.edu
Robert Colvin - colvin.rac@gmail.com
Jundong Liu - liuj1@ohio.edu
GLBIO is an official conference of the International Society for
Computational Biology
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