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Shannara Taylor Parkins

dblp:424/4285 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2024
0000-0003-4728-2159ORCID · reported

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 · 100%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › systems biology
metabolic modeling
0.812024
Shu: visualization of high-dimensional biological pathways · Bioinform. 2024
Bioinformatics and computational biology › systems bioinformatics › pathway analysis
metabolic pathway visualization
0.812024
Shu: visualization of high-dimensional biological pathways · Bioinform. 2024
Bioinformatics and computational biology › omics data analysis
omics data visualization
0.812024
Shu: visualization of high-dimensional biological pathways · Bioinform. 2024

Methods — techniques the papers use, named apart from their topics

grammar of graphics · 0.8Python API · 0.8
YearPublicationVenuePosition
2024 Shu: visualization of high-dimensional biological pathways
abstract
SUMMARY: Shu is a visualization tool that integrates diverse data types into a metabolic map, with a focus on supporting multiple conditions and visualizing distributions. The goal is to provide a unified platform for handling the growing volume of multi-omics data, leveraging the metabolic maps developed by the metabolic modeling community. In addition, shu offers a streamlined python API, based on the Grammar of Graphics, for easy integration with data pipelines. AVAILABILITY AND IMPLEMENTATION: Freely available at https://github.com/biosustain/shu under MIT/Apache 2.0 license. Binaries are available in the release page of the repository and the web application is deployed at https://biosustain.github.io/shu.
Jorge Carrasco Muriel, Nicholas Cowie, Shannara Taylor Parkins, Marjan Mansouvar, Teddy Groves, Lars Keld Nielsen
Bioinform.3