Evidence map›Paper›PMID 29110634›Full record

ArticleBMC bioinformatics2017

JS-MS: a cross-platform, modular javascript viewer for mass spectrometry signals.

Jebediah Rosen, Kyle Handy, André Gillan, Rob Smith

Abstract read
In one paragraph

Article in BMC bioinformatics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Jebediah RosenDepartment of Computer Science, University of Montana, 32 Campus Drive, Missoula, 59812, MT, USA.
Kyle HandyDepartment of Computer Science, University of Montana, 32 Campus Drive, Missoula, 59812, MT, USA.
André GillanDepartment of Computer Science, University of Montana, 32 Campus Drive, Missoula, 59812, MT, USA.
Rob SmithDepartment of Computer Science, University of Montana, 32 Campus Drive, Missoula, 59812, MT, USA. robert.smith@mso.umt.edu.ORCID http://orcid.org/0000-0002-1864-9110

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite 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.

resultsWe 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.

conclusionsJS-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.

Indexed as

Mass SpectrometryUser-Computer InterfaceAlgorithmsElectronic Data ProcessingInternet3-D visualizationJavaScript mass spectrometry parsingMass spectrometry data processingMass spectrometry JavaScriptMass spectrometry visualization

Identifiers

PMID29110634
PMCPMC5674804

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.