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Demo Data from EDBT 2026 / reviewers in the wild / expert

Hugo Simon

dblp:309/3915 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2021
0009-0004-3707-9282ORCID · 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 › data integration
biological data integration		 0.512021
PAX2GRAPHML: a python library for large-scale regulation network analysis using BioPAX · Bioinform. 2021
Bioinformatics and computational biology › gene regulation › gene regulatory network
gene regulatory network analysis		 0.512021
PAX2GRAPHML: a python library for large-scale regulation network analysis using BioPAX · Bioinform. 2021
Bioinformatics and computational biology › systems bioinformatics
pathway analysis		 0.512021
PAX2GRAPHML: a python library for large-scale regulation network analysis using BioPAX · Bioinform. 2021

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

graph transformation · 0.5
YearPublicationVenuePosition
2021 PAX2GRAPHML: a python library for large-scale regulation network analysis using BioPAX
abstract
SUMMARY: PAX2GRAPHML is an open-source Python library that allows to easily manipulate BioPAX source files as regulated reaction graphs described in.graphml format. The concept of regulated reactions, which allows connecting regulatory, signaling and metabolic levels, has been used. Biochemical reactions and regulatory interactions are homogeneously described by regulated reactions involving substrates, products, activators and inhibitors as elements. PAX2GRAPHML is highly flexible and allows generating graphs of regulated reactions from a single BioPAX source or by combining and filtering BioPAX sources. Supported by the graph exchange format .graphml, the large-scale graphs produced from one or more data sources can be further analyzed with PAX2GRAPHML or standard Python and R graph libraries. AVAILABILITY AND IMPLEMENTATION: https://pax2graphml.genouest.org.
François Moreews, Hugo Simon, Anne Siegel, Florence Gondret, Emmanuelle Becker
 Bioinform.2