Demo Data from EDBT 2026 / reviewers in the wild / expert
Jennifer D. Warrender
dblp:130/3811
· DBLP profile ↗
2ranked-venue papers
1as first author
1since 2021 · last 2023
0000-0003-1033-2431ORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 2 · 1 first-author · 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 · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › ontology
ontology development |
0.4 | 1 | 2019 | A fully computational and reasonable representation for karyotypes · Bioinform. 2019 |
Bioinformatics and computational biology › bioinformatics infrastructure
biological data management |
0.1 | 1 | 2019 | A fully computational and reasonable representation for karyotypes · Bioinform. 2019 |
Bioinformatics and computational biology
data integration |
0.1 | 1 | 2019 | A fully computational and reasonable representation for karyotypes · Bioinform. 2019 |
Methods — techniques the papers use, named apart from their topics
Tawny-OWL · 0.4OWL · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | Examining the Feasibility of Incorporating Social Media Platforms into Professional Training Programs
Malak Alharbi, Jennifer D. Warrender, Marie Devlin |
WEBIST | 2 |
| 2019 | A fully computational and reasonable representation for karyotypesabstractSUMMARY: The human karyotype has been used as a mechanism for describing and detecting gross abnormalities in the genome for many decades. It is used both for routine diagnostic purposes and for research to further our understanding of the causes of disease. Despite these important applications there has been no rigorous computational representation of the karyotype; rather an informal, string-based representation is used, making it hard to check, organize and search data of this form. In this article, we describe our use of OWL, the Ontology Web Language, to generate a fully computational representation of the karyotype; the development of this ontology represents a significant advance from the traditional bioinformatics use for tagging and navigation and has necessitated the development of a new ontology development environment called Tawny-OWL. AVAILABILITY AND IMPLEMENTATION: The Karyotype Ontology and associated Tawny-OWL source code is available on GitHub at https://github.com/jaydchan/tawny-karyotype, under a LGPL License, Version 3.0. Jennifer D. Warrender, Anthony V. Moorman, Phillip Lord |
Bioinform. | 1 |