May Institute continues IN PERSON!
Computation and statistics for mass spectrometry and proteomics
April 28 – May 11, 2025, Northeastern University, Boston MA in person
Organizer: Olga Vitek and Michael Shortread
Sponsor: Barnett Institute for Chemical and Biological Analysis, Northeastern University
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. The 2025 instance of the Institute is returning in person!
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.
Contact: mayinstitute@ccs.neu.edu
Below is the draft of the 2025 program. More updates and additions will be posted here soon.
April 28, 9:00am-April 30, 12:30pm | Quantitative proteomics with Skyline
Lead instructors: Tina Ludwig, Brendan MacLean and Lindsay Pino |
2.5 days | Docs |
April 30, 1:30pm – May 2, 5:00pm | Beginners R and beginners statistics
Lead instructor: Ryan Benz |
2.5 days | Docs |
April 30, 1:30pm – May 2, 5:00pm | Intermediate R, data visualization and statistics
Lead instructor: Kylie Bemis |
2.5 days | Docs |
May5, 9am – May 7, 1:30pm | Statistics for quantitative mass spectrometry: methods and case studies
Lead instructors: Olga Vitek and Devon Kohler |
2.5 days | Docs |
May 5, 9:00am – May 5, 5:00pm | Analysis of mass spectrometry images with Cardinal
Lead instructor: Kylie Bemis |
1 day | Docs |
May 7, 12:30pm – May 7, 5pm | Interpretation of proteomic experiments in the context of biomolecular networks with INDRA
Lead instructor: Ben Gyori |
2.5 days | Docs |
May 9, 12:30pm – May 11, 4pm | Future developers meeting Frontiers in computational quantitative proteomics and metabolomics |
2.5 days |