Skip to main content

May Institute
Computation and statistics for mass spectrometry and proteomics

April 27 – May 8, 2020, Northeastern University, Boston MA

Organizers : Meena Choi 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.

 

Program Overview

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.

 

Featured Speakers