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Azioni sul documento
Preliminary announcement - Lipari School on Computational Biology and Bioinformatics
| Cosa | Meeting |
|---|---|
| Quando |
12/06/2010 09:00
al 19/06/2010 17:00 |
| Dove | Lipari, Italy |
| Persona di riferimento | Susanna Caramello |
| Indirizzo e-mail per contatti | susanna@dmi.unict.it |
| Recapito telefonico per contatti | +39 095 7383071 |
| Partecipanti | Courses:, Sandrine Dudoit, Charles Lawrence, Dana Pe’er, Marie France Sagot, Guest lectures, Mary Ellen Bock, Gene Myers, Tutorials:, Catarina Sismerio, Gene Myers, Michael Levitt, Chiara Romualdi, Alfredo Pulvirenti, Matteo Comin, Raffaele Giancarlo, Giosuè Lo Bosco, Rosalba Giugno, School Directors:, Prof. Alfredo Ferro (University of Catania), Prof. Raffaele Giancarlo (University of Palermo), Prof. Concettina Guerra (University of Padova and Georgia Tech.), Prof. Michael Levitt, (Stanford University), Dr. Rosalba Giugno (co-director, University of Catania), Dr. Alfredo Pulvirenti (co-director, University of Catania) |
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a summer school in Computational Biology and Bioinformatics entitled "Statistical and Machine Learning Methods in Computational Biology", that will take place in Lipari from June 12 to June 19, 2010. Deadline: April 10, 2010
Aim and scope:
The theme of the School: Statistical and Machine Learning Methods in Computational Biology is among the most representative areas of interdisciplinary research in modern science. It has also a very long and prestigious history of fundamental contributions to biology and medicine. However, since high throughput and genome wide experiments are becoming a standard for biological investigation, new techniques for the analysis of biological data are required. The main lectures will focus on four aspects of the theme, ranging from new statistical challenges posed by deep sequencing techniques to inference and analysis of network structure that take into full account the paradigm shift that we have witnessed in terms of the scale of data available. A series of tutorial is also offered, with the intent to complement the main lectures by providing snapshots of other areas that are perceived of relevance to the theme of the School. They range from introductory topics to Statistics to probabilistic and Machine Learning methods used to shed light on nucleosome organization in genomes. As it is clear from the enclosed bibliography, the selected themes have received much attention in the scholarly literature that ranges from Science to BMC Bioinformatics and Bioinformatics. As a whole, the planned summer school will allow young researchers interested in bioinformatics and biomedicine to be exposed to cutting edge results in an area that, although classic, is among the most effervescent in Post-Genomic Biology.