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Séverine Mollard

dblp:185/8252 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2016
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1

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 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › drug discovery
drug combination analysis
0.212016
Combenefit: an interactive platform for the analysis and visualization of drug combinations · Bioinform. 2016
Bioinformatics and computational biology › drug discovery › drug combination analysis
synergy quantification
0.212016
Combenefit: an interactive platform for the analysis and visualization of drug combinations · Bioinform. 2016

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

loewe synergy model · 0.2bliss synergy model · 0.2HSA synergy model · 0.2
YearPublicationVenuePosition
2016 Combenefit: an interactive platform for the analysis and visualization of drug combinations
abstract
MOTIVATION: Many drug combinations are routinely assessed to identify synergistic interactions in the attempt to develop novel treatment strategies. Appropriate software is required to analyze the results of these studies. RESULTS: We present Combenefit, new free software tool that enables the visualization, analysis and quantification of drug combination effects in terms of synergy and/or antagonism. Data from combinations assays can be processed using classical Synergy models (Loewe, Bliss, HSA), as single experiments or in batch for High Throughput Screens. This user-friendly tool provides laboratory scientists with an easy and systematic way to analyze their data. The companion package provides bioinformaticians with critical implementations of routines enabling the processing of combination data. AVAILABILITY AND IMPLEMENTATION: Combenefit is provided as a Matlab package but also as standalone software for Windows (http://sourceforge.net/projects/combenefit/). CONTACT: [email protected] SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Giovanni Y. Di Veroli, Chiara Fornari, Dennis Wang, Séverine Mollard, Jo L. Bramhall, Frances M. Richards, Duncan I. Jodrell
Bioinform.4