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Eric Letouzé

dblp:227/3986 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2018
0000-0002-6369-2839ORCID · reported

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 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
cancer genomics
0.312018
Palimpsest: an R package for studying mutational and structural variant signatures along clonal evolution in cancer · Bioinform. 2018
Bioinformatics and computational biology › cancer genomics › tumor evolution
clonal evolution
0.312018
Palimpsest: an R package for studying mutational and structural variant signatures along clonal evolution in cancer · Bioinform. 2018
Bioinformatics and computational biology › cancer genomics
mutational signature analysis
0.312018
Palimpsest: an R package for studying mutational and structural variant signatures along clonal evolution in cancer · Bioinform. 2018
Bioinformatics and computational biology › cancer genomics
structural variant signature extraction
0.312018
Palimpsest: an R package for studying mutational and structural variant signatures along clonal evolution in cancer · Bioinform. 2018

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

statistical inference · 0.3
YearPublicationVenuePosition
2018 Palimpsest: an R package for studying mutational and structural variant signatures along clonal evolution in cancer
abstract
Summary: Cancer genomes are altered by various mutational processes and, like palimpsests, bear the signatures of these different processes. The Palimpsest R package provides a complete workflow for the characterization and visualization of mutational signatures and their evolution along tumor development. The package covers a wide range of functions for extracting both base substitution and structural variant signatures, inferring the clonality of each alteration and analyzing the evolution of mutational processes between early clonal and late subclonal events. Palimpsest also estimates the probability of each mutation being due to each process to predict the mechanisms at the origin of driver events. Palimpsest is an easy-to-use toolset for reconstructing the natural history of a tumor using whole exome or whole genome sequencing data. Availability and implementation: Palimpsest is freely available at www.github.com/FunGEST/Palimpsest. Supplementary information: Supplementary data are available at Bioinformatics online.
Jayendra Shinde, Quentin Bayard, Sandrine Imbeaud, Théo Z. Hirsch, Victor Renault, Jessica Zucman-Rossi, Eric Letouzé
Bioinform.8