HAMMER: automated operation of mass frontier to construct in silico mass spectral fragmentation libraries
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 experimenta...
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Oxford University Press
2014
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Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3928522/ |
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pubmed-39285222014-02-24 HAMMER: automated operation of mass frontier to construct in silico mass spectral fragmentation libraries 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. Applications Notes 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. Oxford University Press 2014-02-15 2013-12-11 /pmc/articles/PMC3928522/ /pubmed/24336413 http://dx.doi.org/10.1093/bioinformatics/btt711 Text en © The Author 2013. Published by Oxford University Press. http://creativecommons.org/licenses/by/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
repository_type |
Open Access Journal |
institution_category |
Foreign Institution |
institution |
US National Center for Biotechnology Information |
building |
NCBI PubMed |
collection |
Online Access |
language |
English |
format |
Online |
author |
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. |
spellingShingle |
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. HAMMER: automated operation of mass frontier to construct in silico mass spectral fragmentation libraries |
author_facet |
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. |
author_sort |
Zhou, Jiarui |
title |
HAMMER: automated operation of mass frontier to construct in silico mass spectral fragmentation libraries |
title_short |
HAMMER: automated operation of mass frontier to construct in silico mass spectral fragmentation libraries |
title_full |
HAMMER: automated operation of mass frontier to construct in silico mass spectral fragmentation libraries |
title_fullStr |
HAMMER: automated operation of mass frontier to construct in silico mass spectral fragmentation libraries |
title_full_unstemmed |
HAMMER: automated operation of mass frontier to construct in silico mass spectral fragmentation libraries |
title_sort |
hammer: automated operation of mass frontier to construct in silico mass spectral fragmentation libraries |
description |
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. |
publisher |
Oxford University Press |
publishDate |
2014 |
url |
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3928522/ |
_version_ |
1612059807504662528 |