Title |
JS-MS: a cross-platform, modular javascript viewer for mass spectrometry signals
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Published in |
BMC Bioinformatics, November 2017
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DOI | 10.1186/s12859-017-1883-6 |
Pubmed ID | |
Authors |
Jebediah Rosen, Kyle Handy, André Gillan, Rob Smith |
Abstract |
Despite the ubiquity of mass spectrometry (MS), data processing tools can be surprisingly limited. To date, there is no stand-alone, cross-platform 3-D visualizer for MS data. Available visualization toolkits require large libraries with multiple dependencies and are not well suited for custom MS data processing modules, such as MS storage systems or data processing algorithms. We present JS-MS, a 3-D, modular JavaScript client application for viewing MS data. JS-MS provides several advantages over existing MS viewers, such as a dependency-free, browser-based, one click, cross-platform install and better navigation interfaces. The client includes a modular Java backend with a novel streaming.mzML parser to demonstrate the API-based serving of MS data to the viewer. JS-MS enables custom MS data processing and evaluation by providing fast, 3-D visualization using improved navigation without dependencies. JS-MS is publicly available with a GPLv2 license at github.com/optimusmoose/jsms. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 4 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 2 | 50% |
Science communicators (journalists, bloggers, editors) | 1 | 25% |
Members of the public | 1 | 25% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 19 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Other | 4 | 21% |
Student > Ph. D. Student | 4 | 21% |
Student > Master | 3 | 16% |
Researcher | 3 | 16% |
Student > Bachelor | 2 | 11% |
Other | 1 | 5% |
Unknown | 2 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 6 | 32% |
Computer Science | 4 | 21% |
Biochemistry, Genetics and Molecular Biology | 3 | 16% |
Engineering | 2 | 11% |
Chemistry | 1 | 5% |
Other | 0 | 0% |
Unknown | 3 | 16% |