March 29th, 2017
The CASMI 2016 Cat 2+3 paper is out! Jan 20th, 2017
Organisation of CASMI 2017 is underway, stay tuned! Dec 4th, 2016
The MS1 peak lists for Category 2+3 have been added for completeness. May 6th, 2016
The winners and full results are available. April 25th, 2016
The solutions are public now. April 18th, 2016
The contest is closed now, the results are fantastic and will be opened soon! April 9th, 2016
All teams who submit before the deadline April 11th will be allowed to update the submission until Friday 15th. February 12th, 2016
New categories 2 and 3 and data for automatic methods released. 10 new challenges in category 1. January 25th, 2016
E. Schymanski and S. Neumann joined the organising team, additional contest data coming soon. January 11th, 2016
New CASMI 2016 raw data files are available.
of Small Molecule Identification
The experimental and computational mass spectrometry communities are invited to participate in the fourth round of an open contest on the identification of small molecules from mass spectrometry data.
This year the contest will aim at both the applicability of MS and MS/MS in natural products chemistry identifications and on providing many unknowns for fully-automatic approaches. CASMI 2016 is organised by Dr. Grégory Genta-Jouve (University of Paris Descartes, FR), Prof. Olivier P. Thomas (University of Nice Sophia Antipolis, FR), Dr. David Touboul (ICSN, CNRS, Gif sur Yvette, FR), Dr. Emma Schymanski (Eawag, CH) and Dr. Steffen Neumann (IPB Halle, DE). Support is provided by the RFMF (Réseau Francophone de Métabolomique et de Fluxomique).
The results will be presented and discussed at scientific workshops, in particular the 10th RFMF meeting in Montpellier (France) from 30/5-2/6/2016 and the nontarget workshop in Monte Verità, Ascona (Switzerland) from 29/5-3/6/2016.
The aim is to bring all mass spectral communities together to show off their different methods on a common data set. Thus, although this is a competition, all participants should benefit and the real winner is the field of small molecule identification.