Workshop on Computational Proteomics
Biological mass spectrometry is now a very data-intensive science from which the unbiased extraction of biologically relevant information is a challenge. Data analysis is more complex than for other high-throughput technologies such as microarrays and remains the principal bottleneck in discovery proteomics. This workshop answers questions of interest to all biologists using mass spectrometry data: which proteins are present in the sample, how much is present and how statistically valid are the answers. In addition, we ask how can these large datasets be visualized and annotated. Computational proteomics bridges the gap between mass spectrometry and bioinformatics and deals, if not in truth, at least in evidence.
These issues are of pressing concern, as journals and reviewers increasingly require explicit description of how data were analysed. We are privileged to bring to Singapore four experts in computational proteomics, pioneers in developing the statistical underpinning of proteomics.
All biologists with an interest in the application of mass spectrometry to biological questions are encouraged to attend. Understand razor and sibling peptides, target decoy, false discovery rates and Bayesian classification! Those from bioinformatics and high-performance computing backgrounds will also find much of interest in this new field.
(1) Francis Bacon, “Of Truth” in “Essays or Counsels” London, 1597
10:00am – 12:15pm
Welcome address & Introduction: Walter Blackstock
Session Chair: Kelly Hogue
Dr Juergen Cox
Max Planck Institute of Biochemistry, Germany
Title: Comprehensive Quantification of Proteomes and Modifications with MaxQuant
Dr Alexey Nesvizhskii
University of Michigan, USA
Title: Protein Prophet: Statistical Validation of Protein Identifications
12:15pm – 1:15pm
Lunch & offline discussion
1:15pm – 3:30pm
Session Chair: Jayantha Gunaratne
Dr Henry Lam
Hong Kong University of Science & Technology, Hong Kong
Title: Building and using Tandem Mass Spectral Libraries for Targeted Discovery in Proteomics
Dr Chanchal Kumar
Systems Biology, Lilly Singapore Centre for Drug Discovery, Singapore
Title: Bioinformatics for Functional Analysis of Mass Spectrometry based Proteomics Data
Registration not required! All are welcome.
Click here to download the Schedule of the Symposium (PDF)
Click here to download the Poster of the Symposium (PDF)