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Pierre Simon Garcia

dblp:233/5239 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2019
0000-0001-7444-899XORCID · 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 · 100%

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

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
comparative genomics
0.412019
GeneSpy, a user-friendly and flexible genomic context visualizer · Bioinform. 2019
Bioinformatics and computational biology › genomics › genome visualization
genomic context visualization
0.412019
GeneSpy, a user-friendly and flexible genomic context visualizer · Bioinform. 2019
Bioinformatics and computational biology
genome annotation
0.112019
GeneSpy, a user-friendly and flexible genomic context visualizer · Bioinform. 2019

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

graphical user interface · 0.4
YearPublicationVenuePosition
2019 GeneSpy, a user-friendly and flexible genomic context visualizer
abstract
Summary: The exploration and comparison of genome organization is routinely used in the frame of genomic and phylogenomic analyses. As a consequence, in the past few years, various tools allowing visualizing genomic contexts have been developed. However, their use is often hampered by a lack of flexibility, particularly concerning associated databases input formats and figure customization. Here we present GeneSpy, a graphical user interface that allows the visualization and dynamic exploration of eukaryotic and prokaryotic annotated genomes. GeneSpy relies on user-friendly manageable local databases and allows the easy customization and production of figures in a multitude of formats. Availability and implementation: GeneSpy is freely available at https://lbbe.univ-lyon1.fr/GeneSpy/ for Linux, Mac OS and Windows under CeCILL license (http://www.cecill.info/licences/). It is written in Python 2.7 and depends on Matplotlib, Tkinter and Sqlite libraries. Supplementary information: Supplementary data are available at Bioinformatics online.
Pierre Simon Garcia, Frédéric Jauffrit, Christophe Grangeasse, Céline Brochier-Armanet
Bioinform.1