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Franck Court

dblp:214/6231 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2018
0000-0003-0327-9708ORCID · 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 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › transcriptomics › RNA-seq analysis
fusion transcript detection
0.312018
CLIFinder: identification of LINE-1 chimeric transcripts in RNA-seq data · Bioinform. 2018
Bioinformatics and computational biology
transcriptomics
0.312018
CLIFinder: identification of LINE-1 chimeric transcripts in RNA-seq data · Bioinform. 2018
Bioinformatics and computational biology › transcriptomics
RNA-seq analysis
0.112018
CLIFinder: identification of LINE-1 chimeric transcripts in RNA-seq data · Bioinform. 2018

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

stranded sequencing · 0.3paired-end RNA-seq · 0.3
YearPublicationVenuePosition
2018 CLIFinder: identification of LINE-1 chimeric transcripts in RNA-seq data
abstract
Summary: L1 Chimeric Transcripts (LCTs) are initiated by repeated LINE-1 element antisense promoters and include the L1 5'UTR sequence in antisense orientation followed by the adjacent genomic region. LCTs have been characterized mainly using bioinformatics approaches to query dbEST. To take advantage of NGS data to unravel the transcriptome composition, we developed Chimeric LIne Finder (CLIFinder), a new bioinformatics tool. Using stranded paired-end RNA-seq data, we demonstrated that CLIFinder can identify genome-wide transcribed chimera sequences corresponding to potential LCTs. Moreover, CLIFinder can be adapted to study transcription from other repeat types. Availability and implementation: The code is available at: https://github.com/GReD-Clermont/CLIFinder; and for Galaxy users, it is directly accessible in the tool shed at: https://toolshed.g2.bx.psu.edu/view/clifinder/clifinder/. Contact: [email protected]. Supplementary information: Supplementary data are available at Bioinformatics online.
Marie-Elisa Pinson, Romain Pogorelcnik, Franck Court, Philippe Arnaud, Catherine Vaurs-Barrière
Bioinform.3