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Abstract
Summary: Experimental MSn mass spectral libraries currently do not adequately cover chemical space. This limits the robust annotation of metabolites in metabolomics studies of complex biological samples. In silico fragmentation libraries would improve the identification of compounds from experimental multistage fragmentation data when experimental reference data are unavailable. Here, we present a freely available software package to automatically control Mass Frontier software to construct in silico mass spectral libraries and to perform spectral matching. Based on two case studies, we have demonstrated that high-throughput automation of Mass Frontier allows researchers to generate in silico mass spectral libraries in an automated and high-throughput fashion with little or no human intervention required.
Availability and implementation: Documentation, examples, results and source code are available at http://www.biosciences-labs.bham.ac.uk/viant/hammer/.
Availability and implementation: Documentation, examples, results and source code are available at http://www.biosciences-labs.bham.ac.uk/viant/hammer/.
Original language | English |
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Pages (from-to) | 581-583 |
Journal | Bioinformatics |
Volume | 30 |
Issue number | 4 |
Early online date | 11 Dec 2013 |
DOIs | |
Publication status | Published - 15 Feb 2014 |
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From Airborne Exposures to Biological Effects(FABLE): The Impact of Nanoparticles on Health
Viant, M. (Principal Investigator), Ayres, J. (Co-Investigator), Chang, I. (Co-Investigator), Delgado Saborit, J. M. (Co-Investigator), Lead, J. (Co-Investigator), Preece, J. (Co-Investigator), Rappoport, J. (Co-Investigator), Hodges, N. (Co-Investigator) & Knight, T. (Co-Investigator)
Natural Environment Research Council
1/05/11 → 31/10/15
Project: Research Councils