Thank you to all our participants, speakers, and organizers for a wonderful May Institute 2025! Check back soon for updates on May Institute 2026.
May Institute continues IN PERSON!
April 28 – May 11, 2025, Northeastern University, Boston MA in person
Organizers: Olga Vitek and Michael Shortreed
Sponsor: Barnett Institute for Chemical and Biological Analysis, Northeastern University
New for 2025: Future Developers Meeting, May 10th – 11th, 2025.
Match between-runs, normalization of multi-batch experiments, treatment of missing values: presentations selected from invited and contributed talks and panel discussion
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 2025 program. Updates for 2026 are coming in the next couple months.
| April 28, 9:00am -April 30, 12:30pm | Quantitative proteomics with Skyline Lead instructors: Susan Abbatiello, Brendan MacLean and Lindsay Pino |
2.5 days | Info |
| April 30, 1:30pm – May 2, 5:00pm | Beginners R and beginners statistics Lead instructor: Ryan Benz |
2.5 days | Info |
| April 30, 1:30pm – May 2, 5:00pm | Intermediate R, data visualization and statistics Lead instructor: Kylie Bemis |
2.5 days | Info |
| April 30, 1:30pm – May 2, 5:00pm | Intermediate Python, data visualization and statistics Lead instructors: Ben Gyori, Arzu Tuğçe Güler, and Jeremy Muhlich |
2.5 days | Info |
| May 5, 9:00am – May 7, 12:30pm | Statistics for quantitative mass spectrometry: methods and case studies Lead instructors: Olga Vitek and Devon Kohler |
2.5 days | Info |
| May 7, 1:30pm – May 9, 5:00pm |
Interpretation of proteomic experiments in the context of biomolecular networks with INDRA Lead instructor: Ben Gyori |
2.5 days | Info |
| May 9, 9:00am – May 9, 5:00pm | Analysis of mass spectrometry images with Cardinal Lead instructor: Kylie Bemis |
1 day | Info |
| May 10, 9:00am – May 11, 4:00pm |
Future Developers Meeting Frontiers in computational quantitative proteomics and metabolomics |
2 days | Info |
