Demo Data from EDBT 2026 / reviewers in the wild / expert
Brittany Hewitson
dblp:394/4369
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2022
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021
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 · 77% Medical and health informatics · 23% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › gene regulation
regulatory variant interpretation |
0.6 | 1 | 2022 | RevUP: an online scoring system for regulatory variants implicated in rare diseases · Bioinform. 2022 |
Methods — techniques the papers use, named apart from their topics
evidence-based scoring · 0.6database integration · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | RevUP: an online scoring system for regulatory variants implicated in rare diseasesabstractSUMMARY: To address the difficulty in assessing the implication of regulatory variants in diseases, a scoring scheme previously published allows the calculation of the Regulatory Variant Evidence score (RVE-score). The score represents the accumulated evidence for a causative role of a regulatory variant in a disease. Regulatory Evidence for Variants Underlying Phenotypes was built to calculate the RVE-score of regulatory variants, based on the 24 criteria, with a hybrid approach combining information retrieved from public databases and user input. AVAILABILITY AND IMPLEMENTATION: RevUP is freely available at http://www.revup-classifier.ca. The source code is available at https://github.com/wassermanlab/revup. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Solenne Correard, Brittany Hewitson, Robin van der Lee, Wyeth W. Wasserman |
Bioinform. | 2 |