Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Jennifer D. Warrender

dblp:130/3811 · DBLP profile ↗
← Back
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

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › ontology
ontology development
0.412019
A fully computational and reasonable representation for karyotypes · Bioinform. 2019
Bioinformatics and computational biology › bioinformatics infrastructure
biological data management
0.112019
A fully computational and reasonable representation for karyotypes · Bioinform. 2019
Bioinformatics and computational biology
data integration
0.112019
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
YearPublicationVenuePosition
2023 Examining the Feasibility of Incorporating Social Media Platforms into Professional Training Programs
Malak Alharbi, Jennifer D. Warrender, Marie Devlin
WEBIST2
2019 A fully computational and reasonable representation for karyotypes
abstract
SUMMARY: 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