RECOMB Satellite Conference on Computational Proteomics 2012

April 6-8, 2012
Calit2 Auditorium, Atkinson Hall
University of California, San Diego
La Jolla, California

Invited Speakers

Ruedi Aebersold, ETH Zürich, Switzerland
Mark Chance, Case Western Reserve University, USA
Pieter Dorrestein, University of California, San Diego, USA
Anne-Claude Gingras, Samuel Lunenfeld Research Institute, Canada
Richard Higgs, Eli Lilly, USA
Michael MacCoss, Universy of Washington, USA
David Tabb, Vanderbilt University, USA
Vicki Wysocki, University of Arizona, USA

Proteomics is defined as the study of the total protein complement of a cell, while computational mass spectrometry is the field of research concerned with the development of algorithmic and computational statistics approaches to the interpretation of proteomics mass spectrometry data. These broad definitions include, but are not limited to: protein identification and quantification in specific cellular environments; networks of protein interactions; post-translational modifications; and others. With the sequencing of the genome and subsequent identification of the list of parts (the gene and their protein products), there is a renewed emphasis on understanding the many roles of the proteome using automated high-throughput approaches. Moreover, the last few years have seen tremendous improvement in the quality and quantity of available mass spectrometry data, as well as the realization that advanced computational approaches are critical to the success of this technology.

The goal of this meeting is to bring together computational and experimental scientists in the area of computational proteomics and mass spectrometry to discuss current research directions and latest findings, as well as to establish new collaborations to meet the algorithmic and statistical challenges in high-throughput proteomics. Topics include but are not limited to:

* Filtering and indexing sequence databases
* Peptide quantification
* Peptide identification
* Genome annotations via mass spectrometry
* Identification of post-translational modifications
* Structural genomics via mass spectrometry
* Protein-protein interactions
* Instrument and protocol development
* Clinical proteomics

We are delighted to announce that, this year, papers submitted to the Computational Proteomics conference will also be considered for publication in the Journal of Proteome Research (JPR).

About CCMS
The NIH/NCRR Center for Computational Mass Spectrometry at UCSD is dedicated to the study of computational approaches in proteomics. It is founded by computational and experimental proteomics researchers from the Departments of Computer Science, Biological Sciences, Chemistry, and Pharmaceutical Sciences at UCSD who work on cutting edge research problems in mass spectrometry.

About CASB
The Center for Algorithmic and Systems Biology (CASB) is dedicated to the study of computational approaches in biological sciences. It serves as a worldwide bioinformatics conference center and forum for researchers in algorithmic and systems biology. CASB also aims to promote interactions among different departments at the University of California, San Diego, among different institutions in the San Diego region and between academia and industry. The Center also supports original research and educational activities in bioinformatics.

Program Committee

Nuno Bandeira, University of California, San Diego, USA
Marshall Bern, Palo Alto Research Center, USA
Dongbo Bu, Chinese Academy of Sciences, China
Robert Chalkley, University of California, San Francisco, USA
Jürgen Cox, MPI Biochemistry, Germany
Nathan Edwards, Georgetown University, USA
David Fenyö, Rockefeller University, USA
Andreas Hildebrandt, Saarland University, Germany
Xinning Jiang, University of California, San Diego, USA
Oliver Kohlbacher, University of Tuebingen, Germany
Lukas Käll, Stockholm University, Sweden
Jennie Lill, Genentech, Inc, USA
Mark Lortie, University of California, San Diego, USA
Bin Ma, University of Waterloo, Canada
Lennart Martens, Ghent University, Belgium
Alexey Nesvizhskii, University of Michigan, USA
William Stafford Noble, University of Washington, USA
Eunok Paek, University of Seoul, Korea
Knut Reinert, Freie Universität Berlin, Germany
Paul Rudnick, National Institute of Standards and Technology, USA
Javier Satulovsky, Agilent Technologies, USA
David Tabb, Vanderbilt University, USA
Haixu Tang, Indiana University, USA
Olga Vitek, Purdue University, USA