ParticipantID:        hshen
Category:	      category 1 and 2
Authors:              Huibin, Shen(1) and Nicola, Zamboni(2) and Markus, 
                      Heinonen(3) and Juho, Rousu(1)
Affiliations:         (1) Helsinki Institute for Information Technology; 
                      Department of Information and Computer Science, 
                      Aalto University, Finland (2) Institute of 
                      Molecular Systems Biology, ETH Zurich, Switzerland. 
                      (3) IBISC, Université d’Evry-Val d’Essonne, France

Automatic pipeline:   yes
Spectral libraries:   yes (MassBank)

Abstract

We processed only the LC-MS challenges. We predict the molecular
fingerprints of the challenge data using FingerID and use them to
search the Kegg compound database.