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Alejandro Brenes

dblp:213/6699 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2019
0000-0001-8298-2463ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › proteomics › computational proteomics
proteomics data visualization
0.412019
The Encyclopedia of Proteome Dynamics: the KinoViewer · Bioinform. 2019
YearPublicationVenuePosition
2019 The Encyclopedia of Proteome Dynamics: the KinoViewer
abstract
SUMMARY: The 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.
Alejandro Brenes, Angus I. Lamond
Bioinform.1