Computation and statistics for mass spectrometry and proteomics
April 29 – May 10, 2019, Northeastern University, Boston MA
Organizers : Meena Choi, Brendan MacLean and Olga Vitek
The May Institute focuses on computational and statistical aspects of quantitative mass spectrometry-based proteomics. The course combines keynote presentations, introductory lectures, practical training, and informal personal discussions.
Instructors of the course are leading experts, who contributed numerous experimental and computational methods and software. The target audience are both beginners and experienced scientists, who would like to strengthen their computational and statistical expertise. We also welcome computer scientists, bioinformaticians, data scientists, statisticians and engineers interested in learning about working with data from modern biotechnologies. The participants will have many opportunities to ask questions, and will be able to present their research.
|April 29, 9:00AM – May 1, 12:30PM||Targeted proteomics with Skyline|
|April 29, 9:00AM – May 1, 12:30PM||Proteomics and metabolomics with OpenMS|
|May 1, 9:00AM – May 1, 12:30PM||Imaging mass spectrometry with Cardinal||0.5-day workshop|
|May 1, 1:30PM – May 3, 5:00PM||Beginner’s statistics in R|
|May 1, 1:30PM – May 3, 5:00PM||Advanced R|
|May 6, 9:00AM – May 8, 12:30PM||Statistics for quantitative mass spectrometry|
|May 6, 9:00AM – May 8, 12:30PM||Visualization of biomolecular data|
|May 8, 1:30PM – May 8, 5:00PM||Scientific writing||0.5-day workshop|
|May 8, 1:30PM – May 10, 5:00PM||Capstone – case studies in data-independent acquisition (DIA)|
This program is supported by the 1R25EB023929-01 award from the National Institutes of Health, by the German Network for Bioinformatics Infrastructure, and by Elixir-Germany. It is co-sponsored by the Boston Chapter of the American Statistical Association.