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Paul Vauterin

dblp:79/11090 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2017
0000-0003-3665-4519ORCID · reported

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 · 50% Computational science and engineering · 50%
Computer graphics and multimedia
1 paper
Visualization and visual analytics · 100%

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

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
genomics
0.312017
Panoptes: web-based exploration of large scale genome variation data · Bioinform. 2017
Computational science and engineering
visual analytics
0.312017
Panoptes: web-based exploration of large scale genome variation data · Bioinform. 2017
Visualization and visual analytics
interactive visualization
0.312017
Panoptes: web-based exploration of large scale genome variation data · Bioinform. 2017

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

visual analytics · 0.6
YearPublicationVenuePosition
2017 Panoptes: web-based exploration of large scale genome variation data
abstract
MOTIVATION: The size and complexity of modern large-scale genome variation studies demand novel approaches for exploring and sharing the data. In order to unlock the potential of these data for a broad audience of scientists with various areas of expertise, a unified exploration framework is required that is accessible, coherent and user-friendly. RESULTS: Panoptes is an open-source software framework for collaborative visual exploration of large-scale genome variation data and associated metadata in a web browser. It relies on technology choices that allow it to operate in near real-time on very large datasets. It can be used to browse rich, hybrid content in a coherent way, and offers interactive visual analytics approaches to assist the exploration. We illustrate its application using genome variation data of Anopheles gambiae, Plasmodium falciparum and Plasmodium vivax. AVAILABILITY AND IMPLEMENTATION: Freely available at https://github.com/cggh/panoptes, under the GNU Affero General Public License. CONTACT: [email protected].
Paul Vauterin, Ben Jeffery, Alistair J. Miles, Roberto Amato, Lee Hart, Ian Wright, Dominic Kwiatkowski
Bioinform.1