Aim and scope:
The dramatic rising of data being generated by high-throughput technologies, such as microarrays, ChIP-chip, ChIP-Seq data are opening a new universe of problems that will certainly provide great challenges in the coming years.
The theme of the School: Biological Sequence Analysis and High Throughput Technologies will describe and highlight a few of techniques and methods for the data analysis in the era of the Personalized Genomics.
The main lectures will focus on the following key topics: methods for high-throughput and parallel sequencing, data Integration and knowledge inference from high-throughput Genomic Experiments.
Three special lectures will survey applications in the field of human diseases and cellular development.
A series of tutorial will be also given, with the intent to complement the main lectures. These will provide snapshots of other areas that are perceived of relevance to the theme of the School. They range from introductory topics to sequence analysis to structural biology.
As it is clear from the enclosed abstracts and bibliography, the selected themes have received much attention in the scholarly literature that ranges from Science, Nature, to BMC Bioinformatics, NAR 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 is among the most exciting in Post-Genomic Biology.
Courses (three hours each)
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Soren Brunak
Data Integration In the Era of Personalized Genomics [abstract]
Center for Biological Sequence Analysis; Technical University of Denmark
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Micha Sammeth
Transcriptome Genetics Using Massively Parallel Sequencing [abstract]
National Center for Genomic Analysis (CNAG, Centre Nacional d'Analisi Genomica)
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Bud Mishra
Genomics Redux: Man, Woman, Birth, Death, Infinity, Plus Altruism, Cheap Talks, Bad Behavior, Money, God and Diversity on Steroids [abstract]
New York University
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Gene Myers
Building Atlases Using Genetics and Light Microscopy [abstract]
Janelia Farm Research Campus; Howard Hughes Medical Institute
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Itzik Peer
High Throughput Sequencing for Comprehensively Cataloging Variants [abstract]
Columbia University in the City of New York
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Monti Stefano
Structural and Functional Cancer Genomics based on High-Throughput Technologies
Section of Computational Biomedicine, Boston University School of Medicine (Affiliate Member) Cancer Program, Broad Institute of MIT & Harvard
Guest lectures
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Carlo Croce
Causes and Consequences of miRNA Disregulation in Cancer [abstract]
Human Cancer Genetics Program; Ohio State University
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Charles Lawrence
A New Gibbs Sampler for Predicting RNA Secondary Structure for Unaligned Sequences [abstract]
Brown University, Providence, USA
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Roded Sharan
A systems-level analysis of protein networks for disease elucidation [abstract]
Tel Aviv University
Tutorials
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Matteo Comin
Phylogenetic methods for biological sequences [abstract]
University of Padova, Italy
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Peter Minary
Introduction to Modern Algorithms for Conformational Sampling and Optimization in Computational Structural Biology [abstract]
Stanford University
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Michael Levitt
Computational structural biology: birth and future [abstract]
Stanford University
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Giosuè Lo Bosco
Computational models for nucleosome positions identification [abstract]
University of Palermo, Italy
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)
