Computation and statistics for mass spectrometry and proteomics
April 27 – May 8, 2020, Northeastern University, Boston MA
Organizers : Meena Choi and Olga Vitek
It is with a heavy heart that we have to announce that, due to the coronavirus outbreak, we have to cancel the May Institute 2020. Please come back to this page for announcements of May Institute May 3-14, 2021.
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 27, 9:00AM – April 29, 12:30PM||Targeted proteomics with Skyline|
|April 27, 9:00AM – April 29, 12:30PM||Proteomics and metabolomics with OpenMS|
|April 29, 1:30PM – May 1, 5:00PM||Beginner’s statistics in R|
|April 29, 1:30PM – May 1, 5:00PM||Intermediate R and data visualization|
|May 2, 1:30PM – May 3, 5:00PM||Future developers meeting||2-day workshop|
|May 4, 9:00AM – May 6, 12:30PM||Statistics for quantitative mass spectrometry|
|May 6, 1:30PM – May 6, 5:00PM||Scientific writing||0.5-day workshop|
|May 6, 1:30PM – May 8, 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 Chan Zuckerberg Initiative, by the German Network for Bioinformatics Infrastructure, and by Elixir-Germany. It is co-sponsored by the Boston Chapter of the American Statistical Association.