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HAMMER: automated operation of mass frontier to construct in silico mass spectral fragmentation libraries

Summary: Experimental MS(n) 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 experimen...

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Detalles Bibliográficos
Autores principales: Zhou, Jiarui, Weber, Ralf J. M., Allwood, J. William, Mistrik, Robert, Zhu, Zexuan, Ji, Zhen, Chen, Siping, Dunn, Warwick B., He, Shan, Viant, Mark R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3928522/
https://www.ncbi.nlm.nih.gov/pubmed/24336413
http://dx.doi.org/10.1093/bioinformatics/btt711
Descripción
Sumario:Summary: Experimental MS(n) 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/. Contact: m.viant@bham.ac.uk Supplementary information: Supplementary data are available at Bioinformatics online.