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Charles E. Chapple

dblp:45/7069 · DBLP profile ↗
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3ranked-venue papers
1as first author
0since 2021 · last 2019
—ORCID · none

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

Applied, interdisciplinary, general and emerging computing · 3 · 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
3 papers
Bioinformatics and computational biology · 100%
Theoretical computer science
1 paper
Graph algorithms and graph theory · 100%

Topics — the 5 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › population genetics
human genetic variation
0.412019
VarSome: the human genomic variant search engine · Bioinform. 2019
Bioinformatics and computational biology › protein analysis › protein-protein interaction
protein-protein interaction network analysis
0.112012
Multifunctional proteins revealed by overlapping clustering in protein interaction network · Bioinform. 2012
Bioinformatics and computational biology › RNA biology › RNA analysis › RNA bioinformatics
RNA structure analysis
0.112009
SECISaln, a web-based tool for the creation of structure-based alignments of eukaryotic SECIS elements · Bioinform. 2009
Graph algorithms and graph theory
graph clustering
0.012012
Multifunctional proteins revealed by overlapping clustering in protein interaction network · Bioinform. 2012
Graph algorithms and graph theory › graph clustering › community detection
overlapping community detection
0.012012
Multifunctional proteins revealed by overlapping clustering in protein interaction network · Bioinform. 2012

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

modularity optimization · 0.3structure-based sequence alignment · 0.1
YearPublicationVenuePosition
2019 VarSome: the human genomic variant search engine
abstract
SUMMARY: VarSome.com is a search engine, aggregator and impact analysis tool for human genetic variation and a community-driven project aiming at sharing global expertise on human variants. AVAILABILITY AND IMPLEMENTATION: VarSome is freely available at http://varsome.com. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Christos Kopanos, Vasilis Tsiolkas, Alexandros Kouris, Charles E. Chapple, Monica Albarca Aguilera, Richard Meyer, Andreas Massouras
Bioinform.4
2012 Multifunctional proteins revealed by overlapping clustering in protein interaction network
abstract
MOTIVATION: Multifunctional proteins perform several functions. They are expected to interact specifically with distinct sets of partners, simultaneously or not, depending on the function performed. Current graph clustering methods usually allow a protein to belong to only one cluster, therefore impeding a realistic assignment of multifunctional proteins to clusters. RESULTS: Here, we present Overlapping Cluster Generator (OCG), a novel clustering method which decomposes a network into overlapping clusters and which is, therefore, capable of correct assignment of multifunctional proteins. The principle of OCG is to cover the graph with initial overlapping classes that are iteratively fused into a hierarchy according to an extension of Newman's modularity function. By applying OCG to a human protein-protein interaction network, we show that multifunctional proteins are revealed at the intersection of clusters and demonstrate that the method outperforms other existing methods on simulated graphs and PPI networks. AVAILABILITY: This software can be downloaded from http://tagc.univ-mrs.fr/welcome/spip.php?rubrique197 CONTACT: [email protected] SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Emmanuelle Becker, Benoît Robisson, Charles E. Chapple, Alain Guénoche, Marie-Christine Brun
Bioinform.3
2009 SECISaln, a web-based tool for the creation of structure-based alignments of eukaryotic SECIS elements
abstract
SUMMARY: Selenoproteins contain the 21st amino acid selenocysteine which is encoded by an inframe UGA codon, usually read as a stop. In eukaryotes, its co-translational recoding requires the presence of an RNA stem-loop structure, the SECIS element in the 3 untranslated region of (UTR) selenoprotein mRNAs. Despite little sequence conservation, SECIS elements share the same overall secondary structure. Until recently, the lack of a significantly high number of selenoprotein mRNA sequences hampered the identification of other potential sequence conservation. In this work, the web-based tool SECISaln provides for the first time an extensive structure-based sequence alignment of SECIS elements resulting from the well-defined secondary structure of the SECIS RNA and the increased size of the eukaryotic selenoproteome. We have used SECISaln to improve our knowledge of SECIS secondary structure and to discover novel, conserved nucleotide positions and we believe it will be a useful tool for the selenoprotein and RNA scientific communities. AVAILABILITY: SECISaln is freely available as a web-based tool at http://genome.crg.es/software/secisaln/.
Charles E. Chapple, Roderic Guigó, Alain Krol
Bioinform.1