Collaborative Computational Project for NMR
CCPN is a public non-profit project, funded by the Medical Research Council
Online CCPN Workshop
12 October: 20:00-23:00 Berlin | 19:00-22:00 London | 15:00-18:00 Rio de Janeiro | 14:00-17:00 New York | 11:00-14:00 San Francisco
Online CCPN Workshop
NMR Exchange Format Tools
30 November: 21:00-00:00 Beijing | 18:30-21:30 New Delhi | 14:00-17:00 Berlin | 13:00-16:00 London | 10:00-13:00 Rio de Janeiro | 8:00-11:00 New York
New Release – Version 3.1.0
New improved data importers
Increased speed performance across a number of areas
AnalysisStructure now available
Improved user friendliness: menu re-organisation, Tip of the Day and more
Refactoring of underlying code to reduce project vulnerabilities
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.
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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