Collaborative Computational Project for NMR
CCPN is a public non-profit project, funded by the Medical Research Council
6-8 July 2023
Registration is open for our 2023 Conference in Glasgow which acts as a Satellite Meeting to the 2023 EUROMAR starting on 9 July. We are delighted that Connect NMR UK will once again be providing bursaries for students and postdocs to attend.
NMR Dynamics Workshop
6-7 June 2023, University of Leicester
Covering theoretical and practical aspects of NMR Dynamics measurements and data analysis. Organised and led by Fred Muskett and the CCPN team.
Funding available from Connect NMR UK.
Welcome to CCPN
Together with its partners, the Collaborative Computing Project for NMR (CCPN) aims to improve and integrate software tools for scientists involved in NMR spectroscopy of biological molecules. We also organise conferences and workshops and actively promote best practices, knowledge sharing and collaboration. We also serve as a forum for discussion in the community about research data management, funding and sustainability.
We offer support to users via our Forum. We also provide a large bank of video tutorials & manual pages and offer pdf-based tutorials with sample data for new users. You are also welcome to contact us by e-mail at firstname.lastname@example.org.
Our highly appreciated UK-based annual conferences are aimed particularly at young researchers and have an emphasis on training and best practice.
We run a variety of in-person and online workshops either organised by ourselves or as part of other NMR courses.
Profit-making organisations need to purchase a license in order to use our software. These operate on an annual per-seat basis. Our support package includes bespoke demos or workshops, if required. We also offer 3-month trial licenses for those who are new to us and are open to collaborations with industrial partners.
Our latest AnalysisScreen developments make this a leading software tool for the analysis of NMR-based screening data: speed-optimised throughout, improved matching between reference and control spectra, flexible plotting functions and real-time updates when changing algorithms, thresholds or scoring functions. Its customisable automation tools enable quick, efficient and reproducible data analysis workflows.
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