NaViA: a program for the visual analysis of complex mass spectra Article Swipe
Daniel Quetschlich
,
Tim K. Esser
,
Thomas D. Newport
,
Francesco Fiorentino
,
Denis Shutin
,
Siyun Chen
,
Rachel E. Davis
,
Silvia Lovera
,
Idlir Liko
,
Phillip J. Stansfeld
,
Carol V. Robinson
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1093/bioinformatics/btab436
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1093/bioinformatics/btab436
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.
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Metadata
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- article
- Language
- en
- Landing Page
- https://doi.org/10.1093/bioinformatics/btab436
- https://academic.oup.com/bioinformatics/article-pdf/37/24/4876/41726826/btab436.pdf
- OA Status
- hybrid
- Cited By
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- References
- 13
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3170760201
All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W3170760201Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1093/bioinformatics/btab436Digital Object Identifier
- Title
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NaViA: a program for the visual analysis of complex mass spectraWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2021Year of publication
- Publication date
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2021-06-17Full publication date if available
- Authors
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Daniel Quetschlich, Tim K. Esser, Thomas D. Newport, Francesco Fiorentino, Denis Shutin, Siyun Chen, Rachel E. Davis, Silvia Lovera, Idlir Liko, Phillip J. Stansfeld, Carol V. RobinsonList of authors in order
- Landing page
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https://doi.org/10.1093/bioinformatics/btab436Publisher landing page
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https://academic.oup.com/bioinformatics/article-pdf/37/24/4876/41726826/btab436.pdfDirect link to full text PDF
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YesWhether a free full text is available
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hybridOpen access status per OpenAlex
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https://academic.oup.com/bioinformatics/article-pdf/37/24/4876/41726826/btab436.pdfDirect OA link when available
- Concepts
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Mass spectrum, Computer science, Mass spectrometry, Stoichiometry, Spectral line, Protein subunit, Biological system, Data mining, Chemistry, Biology, Chromatography, Physical chemistry, Physics, Biochemistry, Gene, AstronomyTop concepts (fields/topics) attached by OpenAlex
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15Total citation count in OpenAlex
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2025: 3, 2024: 3, 2023: 4, 2022: 3, 2021: 2Per-year citation counts (last 5 years)
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13Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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