PROTrEIN will provide ESRs with state-of-the-art network-wide training activities
Network training will be based mostly around yearly 4 to 5-day summer and winter schools that combine research workshops, academic modules, transferable skills, and innovation and entrepreneurship sessions. We will invite external speakers and renowned experts in their respective fields and encourage trainees to interact with them.
PROTrEIN 1st Summer School Barcelona
This course aims to familiarize students with advanced big data analysis methodologies in the field of proteomics and provide hands-on training on the analysis of high-throughput data sets. Practical training will demonstrate how to use computing tools and machine learning algorithms to analyze large-scale proteomics data and apply statistical methods. Furthermore, ESRs will be introduced to the concept of Open Science, FAIR Data, and Research integrity.
PROTrEIN 1st Winter School Zurich
The aim of this course is to not only provide ESRs a better understanding of the available transcriptomics and proteomics technologies and their data integration and their applications, but also to help in the interpretation of these –omics data. The course is highly interactive and includes: Theoretical inputs (lectures), Interactive discussions on case studies (group discussions), Pair and group work in the laboratory, Instrument handling for the practical part, Hands-on activities for data analysis (computer sessions), Q&A sessions, feedback and discussions with other participants and instructors, Flash presentations by means of whiteboards or slides.
PROTrEIN 2nd Summer School Munich
The Max Quant Summer School will provide hands-on training in computational analysis of proteomics data generated by high-resolution mass spectrometry. The practical part will enable participants to perform sophisticated quantitative data analysis in their own future research using the publicly available MaxQuant software.
PROTrEIN 2nd Winter School Ghent
Run jointly with EMBL-EBI, this workshop provides hands-on training in the basics of mass spectrometry and proteomics bioinformatics, search engines and post-processing software, quantitative approaches, MS data repositories, the use of public databases for protein analysis, annotation of subsequent protein lists and incorporation of information from molecular interaction and pathway databases.