Evidence map›Paper›PMID 30239567›Full record

ArticleBioinformatics (Oxford, England)2019

The Encyclopedia of Proteome Dynamics: the KinoViewer.

Alejandro Brenes, Angus I Lamond

Open access · hybridAbstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 25% of its field
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

5 citing papers in PubMed, 10 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

Alejandro BrenesCentre for Gene Regulation and Expression, School of Life Sciences, University of Dundee, Dundee, UK.
Angus I LamondCentre for Gene Regulation and Expression, School of Life Sciences, University of Dundee, Dundee, UK.
University of Dundee · GB

Funding

Wellcome Trust 073980/Z/03/ZWellcome Trust 105024/Z/14/Z
6 · The paper itself

Abstract

summaryThe Encyclopedia of Proteome Dynamics (EPD) 'KinoViewer' is an interactive data visualization tool designed for analysis and exploration of both protein and transcript data, showing expression of kinase genes in either human or mouse cells and tissues. The KinoViewer provides a comprehensive, updated graphical display of all human/mouse kinases and an open access analysis tool for the community with a user-friendly graphical interface. AVAILABILITY AND IMPLEMENTATION: The KinoViewer is based on a manually drawn SVG, which is utilized with D3.js to create a dynamic visualization. It can be accessed at: https://peptracker.com/epd/analytics/. The KinoViewer is currently only accessible through the EPD, it is open access and can be used either to view internal datasets, or used to upload and visualize external user datasets. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

ProteomeSoftwareAnimalsHumansMiceProteome

Identifiers

PMID30239567
PMCPMC6477970
OpenAlexW2891469951

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.