May Institute on Computation and Statistics for Mass Spectrometry
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Devon Kohler
Jan 13, 2025, 8:53:54 AMJan 13
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The May Institute on Computation and Statistics for Mass Spectrometry and Proteomics, taking place on April 28 – May 11, 2025 on the campus of Northeastern University in Boston MA, is now accepting applications. The application deadline is March 5, 2025.
Instructors are leading experts, who contributed numerous experimental and computational methods and software. The target audiences are both beginners and experienced scientists, with both experimental and computational expertise.
New this year is a "Future developers meeting", a 2-day program that brings together developers (and aspiring developers) of computational and statistical tools for mass spectrometry, proteomics and metabolomics. We invite you to submit an abstract and present your research.
Participants can select a subset of the following programs:
* April 28 - April 30, Quantitative proteomics with Skyline. Lead instructors: Susan Abbatiello, Brendan MacLean and Lindsay Pino
* April 30 – May 2, Beginners R and beginners statistics. Lead instructor: Ryan Benz
* April 30 – May 2, Intermediate R, data visualization and statistics. Lead instructor: Kylie Bemis
* April 30 – May 2, Intermediate Python, data visualization and statistics. Lead instructors: Ben Gyori, Arzu Tuğçe Güler, and Jeremy Muhlich
* May 5 – May 7, Statistics for quantitative mass spectrometry: methods and case studies. Lead instructors: Olga Vitek and Devon Kohler
* May 7 – May 9, Interpretation of proteomic experiments in the context of biomolecular networks with INDRA. Lead instructor: Ben Gyori
* May 9, Analysis of mass spectrometry images with Cardinal. Lead instructor: Kylie Bemis
* May 10 - May 11, Future Developers Meeting
A limited number of registration fee wavers will be available for students and postdocs affiliated with academic or nonprofit institutions in the US.
Please share this widely. More information is at https://computationalproteomics.khoury.northeastern.edu/
Instructors are leading experts, who contributed numerous experimental and computational methods and software. The target audiences are both beginners and experienced scientists, with both experimental and computational expertise.
New this year is a "Future developers meeting", a 2-day program that brings together developers (and aspiring developers) of computational and statistical tools for mass spectrometry, proteomics and metabolomics. We invite you to submit an abstract and present your research.
Participants can select a subset of the following programs:
* April 28 - April 30, Quantitative proteomics with Skyline. Lead instructors: Susan Abbatiello, Brendan MacLean and Lindsay Pino
* April 30 – May 2, Beginners R and beginners statistics. Lead instructor: Ryan Benz
* April 30 – May 2, Intermediate R, data visualization and statistics. Lead instructor: Kylie Bemis
* April 30 – May 2, Intermediate Python, data visualization and statistics. Lead instructors: Ben Gyori, Arzu Tuğçe Güler, and Jeremy Muhlich
* May 5 – May 7, Statistics for quantitative mass spectrometry: methods and case studies. Lead instructors: Olga Vitek and Devon Kohler
* May 7 – May 9, Interpretation of proteomic experiments in the context of biomolecular networks with INDRA. Lead instructor: Ben Gyori
* May 9, Analysis of mass spectrometry images with Cardinal. Lead instructor: Kylie Bemis
* May 10 - May 11, Future Developers Meeting
A limited number of registration fee wavers will be available for students and postdocs affiliated with academic or nonprofit institutions in the US.
Please share this widely. More information is at https://computationalproteomics.khoury.northeastern.edu/
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