Demo Data from EDBT 2026 / reviewers in the wild / expert
Baekdoo Kim
dblp:182/4887
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2016
—ORCID · none
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 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › omics data analysis
omics data visualization |
0.2 | 1 | 2016 | Visual Omics Explorer (VOE): a cross-platform portal for interactive data visualization · Bioinform. 2016 |
Bioinformatics and computational biology › genomics
genomic data analysis |
0.1 | 1 | 2016 | Visual Omics Explorer (VOE): a cross-platform portal for interactive data visualization · Bioinform. 2016 |
Methods — techniques the papers use, named apart from their topics
javascript · 0.2HTML · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2016 | Visual Omics Explorer (VOE): a cross-platform portal for interactive data visualizationabstractMOTIVATION: Given the abundance of genome sequencing and omics data, an opprtunity and challenge in bioinformatics relates to data mining and visualization. The majority of current bioinformatics visualizations are implemented either as multi-tier web server applications that require significant maintenance effort, or as client software that presumes technical expertise for installation. Here we present the Visual Omics Explorer (VOE), a cross-platform data visualization portal that is implemented using only HTML and Javascript code. VOE is a standalone software that can be loaded offline on the web browser from a local copy of the code, or over the internet without any dependency other than distributing the code through a file sharing service. VOE can interactively display genomics, transcriptomics, epigenomics and metagenomics data stored either locally or retrieved from cloud storage services, and runs on both desktop computers and mobile devices. AVAILABILITY AND IMPLEMENTATION: VOE is accessible at http://bcil.github.io/VOE/ CONTACT: [email protected] SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Baekdoo Kim, Thahmina Ali, Samuel Hosmer, Konstantinos Krampis |
Bioinform. | 1 |