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Tuesday, August 31, 2010

EMBO Global Exchange Lecture Course: Bioinformatics and Comparative Genome Analysis (Institut Pasteur Tunis, Tunisia)

Announcement and Call for Application to the EMBO Global Exchange Lecture Course on Bioinformatics and Comparative Genome Analysis ( http://cwp.embo.org/glc10-14/) that will take place in the Institut Pasteur Tunis, Tunisia, December 13-18, 2010. The course is co-sponsored by the Institut Pasteur International Network.

The main objective of this intensive course is to strengthen capacities of Phd students and young scientists from African countries, in Bioinformatics and large-scale genome data analyses skills.

The course will focus on reviews on advanced fundamental algorithms and methods used in Bioinformatics and their applications in genome studies (no practical sessions will be included in this course).

The topics that will be included in the course programme are similar to those included in previously organized courses: http://www.pasteur.fr/~tekaia/BGA_courses.html

The course is aimed at motivated Post-Graduate and Ph.D students in African Academic Institutions, with background in Mathematics, Statistics, Biology or Computer Science and who are involved in Bioinformatics and Genomes studies.

Participants selection will be based on an evaluation process involving an accepted Poster presentation (see Application form).

Detailed information are available on the course web site: http://cwp.embo.org/glc10-14/

Candidates are advised to read the indicated informations, then to complete carefully the application form, together with a one-page CV, a Poster abstract and a personal Identity Picture (Photo).

The deadline application is October 30, 2010.

The organizers:
Balkiss Bouhaouala-Zahar (Institut Pasteur Tunis, Tunisia)
Ahmed Rebai (CBS, Tunisia)
Fredj Tekaia (Institut Pasteur Paris, France)
URL: http://cwp.embo.org/glc10-14/

Contact Person: Fredj Tekaia (tekaia@pasteur.fr)

Tuesday, August 17, 2010

Evolution may have pushed humans toward greater risk for type-1 diabetes, study shows

Gene variants associated with an increased risk for type-1 diabetes and rheumatoid arthritis may confer previously unknown benefits to their human carriers, say researchers at the Stanford University School of Medicine. As a result, the human race may have been evolving in the recent past to be more susceptible, rather than less, to some complex diseases, they conclude.
URL: http://med.stanford.edu/ism/2010/august/selection.html

Contact Person: Krista Conger (kristac@stanford.edu)

Critical Assessment of Function Annotations

When: 15-SEP-2010 through 15-JAN-2011
What: Critical Assessment of Function Annotations
Why: Because we need to assess computational gene and protein function prediction programs
More: http://biofunctionprediction.org

Sequence and structure genomics have generated a wealth of data. However, extracting meaningful information from genomic data is becoming increasingly difficult. Both the number and the diversity of discovered genes is increasing. This increase means that established annotation methods, such as homology transfer, are annotating less data. In addition, there is a need for annotation which is standardized so that it could be incorporated into function annotation on a large scale. Finally, there is a need to assess the quality of the function prediction software which is out there. We probably know the sequence of the target for next generation antibiotics or cancer treatment. We just did not recognize that target for what it is: it is currently annotated as a "domain of unknown function".
The mission of the Automated Function Prediction Special Interest Group (AFP-SIG) is to bring together computational biologists who are dealing with the important problem of gene and gene product function prediction, to share ideas and create collaborations.
About the CAFA experiment
The problem: There are far too many proteins in the database for which the sequence is known, but the function is not. The gap between what we know and what we do not know is growing. A major challenge in the field of bioinformatics is to predict the function of a protein from its sequence or structure. At the same time, how can we judge how well these function prediction algorithms are preforming?
The solution: The Critical Assessment of protein Function Annotation algorithms (CAFA) is an experiment designed to provide a large-scale assessment of computational methods dedicated to predicting protein function. We will evaluate methods in predicting the Gene Ontology (GO) terms in the categories of Molecular Function and Biological Process. A set of protein sequences is provided by the organizers. Participants are expected to submit their predictions by the submission deadline. The predictions will be evaluated during the Automated Function Prediction (AFP) meeting, which has been approved as a Special Interest Group (SIG) meeting, at ISMB 2011 conference (Vienna, Austria).
How to participate in CAFA?
1.Register for the experiment at http://biofunctionprediction.org
2.(Recommended) Subscribe to the low-traffic announcement list http://groups.google.com/group/afp2011-announce
3.Download target proteins, available September 15, 2010
4.Submit predictions before January 15, 2011
5.Join us at the AFP-SIG at Vienna July 15-16 for the fifth protein function prediction meeting, and to hear the CAFA results, and about the latest research in computational protein function prediction
More details at: http://biofunctionprediction.org
URL: http://biofunctionprediction.org

Contact Person: Iddo Friedberg (idoerg@gmail.com)

NIH Demystifying Medicine

A DVD has been prepared by NIH/FAES of the 2009-2010 Series of presentations for the Course on "Demystifying Medicine for PhD Students, Fellows and Investigators". This successful Course bridges basic science and medicine by combining patient presentations and state of the art talks by leading clinical and basic science investigators. The topics include a wide range of diseases and research disciplines. The DVD is available on request (email) to basap@faes.od.nih.gov as long as the supply lasts. http://videocast.nih.gov/pastevents.asp?c=45
URL: http://videocast.nih.gov/pastevents.asp?c=45

Contact Person: Support (basap@faes.od.nig.gov)

Monday, August 2, 2010

Burroughs Wellcome Fund Career Awards at the Scientific Interface

Career Awards at the Scientific Interface Advancing the careers of physical, chemical or computational science researchers and engineers whose work addresses biological questions.

Preproposal Deadline: September 1, 2010

BWF's Career Awards at the Scientific Interface provide $500,000 to bridge advanced postdoctoral training and the first three years of faculty service. These awards are intended to foster the early career development of researchers with backgrounds in the physical/mathematical/computational sciences and engineers whose work addresses biological questions.

These awards are open to U.S. and Canadian citizens or permanent residents as well as to U.S. temporary residents.

In previous years, candidates for this award had to be nominated by a North American degree-granting institution. This year, eligible candidates for this award may self-nominate by submitting a preproposal by September 1, 2010.

Preproposals will be reviewed by the Interfaces in Science Advisory Committee and selected candidates will be invited to submit a full application. Full invited applications must be submitted by January 12, 2011.

For full grant details, see www.bwfund.org
URL: http://www.bwfund.org/

Contact Person: Russ Campbell (rcampbell@bwfund.org)