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NaViA : a program for the visual analysis of complex mass spectra
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Quetschlich, Daniel, Esser, Tim K., Newport, Thomas D., Fiorentino, Francesco, Shutin, Denis, Chen, Siyun, Davis, Rachel, Lovera, Silvia, Liko, Idlir, Stansfeld, Phillip J., Robinson, Carol V. and Martelli, Pier Luigi (2021) NaViA : a program for the visual analysis of complex mass spectra. Bioinformatics, 37 (24). pp. 4876-4878. doi:10.1093/bioinformatics/btab436 ISSN 1367-4803.
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WRAP-NaViA-program-visual-analysis-complex-mass-spectra-Stansfeld-2021.pdf - Published Version - Requires a PDF viewer. Available under License Creative Commons Attribution 4.0. Download (1031Kb) | Preview |
Official URL: http://dx.doi.org/10.1093/bioinformatics/btab436
Abstract
Motivation:
Native mass spectrometry is now a well-established method for the investigation of protein complexes, specifically their subunit stoichiometry and ligand binding properties. Recent advances allowing the analysis of complex mixtures lead to an increasing diversity and complexity in the spectra obtained. These spectra can be time-consuming to tackle through manual assignment and challenging for automated approaches.
Results:
Native Mass Spectrometry Visual Analyser is a web-based tool to augment the manual process of peak assignment. In addition to matching masses to the stoichiometry of its component subunits, it allows raw data processing, assignment and annotation and permits mass spectra to be shared with their respective interpretation.
Availability and implementation:
NaViA is open-source and can be accessed online under https://navia.ms. The source code and documentation can be accessed at https://github.com/d-que/navia, under the BSD 2-Clause licence.
Supplementary information:
Supplementary data are available at Bioinformatics online.
Item Type: | Journal Article | |||||||||||||||||||||||||||||||||
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Subjects: | Q Science > QD Chemistry Q Science > QP Physiology |
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Divisions: | Faculty of Science, Engineering and Medicine > Science > Chemistry Faculty of Science, Engineering and Medicine > Science > Life Sciences (2010- ) Faculty of Science, Engineering and Medicine > Science > Chemistry > Computational and Theoretical Chemistry Centre |
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Library of Congress Subject Headings (LCSH): | Proteins -- Analysis, Stoichiometry , Ligand binding (Biochemistry) , Membrane proteins , Lipid membranes | |||||||||||||||||||||||||||||||||
Journal or Publication Title: | Bioinformatics | |||||||||||||||||||||||||||||||||
Publisher: | Oxford University Press | |||||||||||||||||||||||||||||||||
ISSN: | 1367-4803 | |||||||||||||||||||||||||||||||||
Official Date: | 15 December 2021 | |||||||||||||||||||||||||||||||||
Dates: |
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Volume: | 37 | |||||||||||||||||||||||||||||||||
Number: | 24 | |||||||||||||||||||||||||||||||||
Page Range: | pp. 4876-4878 | |||||||||||||||||||||||||||||||||
DOI: | 10.1093/bioinformatics/btab436 | |||||||||||||||||||||||||||||||||
Status: | Peer Reviewed | |||||||||||||||||||||||||||||||||
Publication Status: | Published | |||||||||||||||||||||||||||||||||
Access rights to Published version: | Open Access (Creative Commons) | |||||||||||||||||||||||||||||||||
Date of first compliant deposit: | 16 September 2021 | |||||||||||||||||||||||||||||||||
Date of first compliant Open Access: | 20 September 2021 | |||||||||||||||||||||||||||||||||
RIOXX Funder/Project Grant: |
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