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Stéphane Samson

dblp:309/8289 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2022
—ORCID · unresolved

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

Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author · 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 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
phylogenetics
0.612022
SimPlot++: a Python application for representing sequence similarity and detecting recombination · Bioinform. 2022
Bioinformatics and computational biology › molecular evolution
recombination detection
0.612022
SimPlot++: a Python application for representing sequence similarity and detecting recombination · Bioinform. 2022
Bioinformatics and computational biology
sequence analysis
0.612022
SimPlot++: a Python application for representing sequence similarity and detecting recombination · Bioinform. 2022
Bioinformatics and computational biology › sequence analysis
sequence similarity
0.612022
SimPlot++: a Python application for representing sequence similarity and detecting recombination · Bioinform. 2022

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

proportion test · 0.6phi test · 0.6max-chi-squared test · 0.6NSS test · 0.6
YearPublicationVenuePosition
2022 SimPlot++: a Python application for representing sequence similarity and detecting recombination
abstract
MOTIVATION: Accurate detection of sequence similarity and homologous recombination are essential parts of many evolutionary analyses. RESULTS: We have developed SimPlot++, an open-source multiplatform application implemented in Python, which can be used to produce publication quality sequence similarity plots using 63 nucleotide and 20 amino acid distance models, to detect intergenic and intragenic recombination events using Φ, Max-χ2, NSS or proportion tests, and to generate and analyze interactive sequence similarity networks. SimPlot++ supports multicore data processing and provides useful distance calculability diagnostics. AVAILABILITY AND IMPLEMENTATION: SimPlot++ is freely available on GitHub at: https://github.com/Stephane-S/Simplot_PlusPlus, as both an executable file (for Windows) and Python scripts (for Windows/Linux/MacOS).
Stéphane Samson, Etienne Lord, Vladimir Makarenkov
Bioinform.1