PyMS: a Python toolkit for processing of gas chromatography-mass spectrometry (GC-MS) data. Application and comparative study of selected tools
Sean O'Callaghan, David P De Souza, Andrew Isaac, Qiao Wang, Luke Hodkinson, Moshe Olshansky, Tim Erwin, Bill Appelbe, Dedreia L Tull, Ute Roessner, Antony Bacic, Malcolm J McConville, Vladimir A Likic
BMC BIOINFORMATICS | BMC | Published : 2012
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Awarded by NHMRC
Awarded by ARC
The authors are grateful to the Victorian Node of Metabolomics Australia which is funded through Bioplatforms Australia Pty Ltd, a National Collaborative Research Infrastructure Strategy, 5.1 Evolving Biomolecular Platforms and Informatics investment and co-investment from the Victorian State government and The University of Melbourne UR thanks the Australian Centre for Plant Functional Genomics which is funded by grants from the Australian Research Council (ARC) and the Grains Research and Development Corporation, the South Australian Government, and the University of Adelaide, the University of Queensland, and The University of Melbourne. AB acknowledges the support of the ARC Centre of Excellence in Plant Cell Walls. MJM is a National Health and Medical Research Council (NHMRC) Principal Research Fellow. MJM and VAL acknowledge funding from the NHMRC Project Grant 1006023 and the ARC Discovery Grant DP0878227.