Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data.

Jean-Yves Coppée

dblp:74/3111 · DBLP profile ↗
← Back
2ranked-venue papers
0as 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 · 2

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
2 papers
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 › sequence analysis
sequencing data processing
0.412019
checkMyIndex: a web-based R/Shiny interface for choosing compatible sequencing indexes · Bioinform. 2019
Bioinformatics and computational biology › genomics
next-generation sequencing data analysis
0.112011
Extending KNIME for next-generation sequencing data analysis · Bioinform. 2011

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

workflow integration · 0.1
YearPublicationVenuePosition
2019 checkMyIndex: a web-based R/Shiny interface for choosing compatible sequencing indexes
abstract
SUMMARY: When sequencing several libraries simultaneously, the selection of compatible combinations of indexes is critical for ensuring that the sequencer will be able to decipher the short, sample-specific barcodes added to each fragment. However, researchers have few tools to help them choose optimal indexes. Here, we present checkMyIndex, an online R/Shiny application that facilitates the selection of the right indexes as a function of the experimental constraints. AVAILABILITY AND IMPLEMENTATION: checkMyIndex is available free of charge at https://checkmyindex.pasteur.fr as an online, web-based R/Shiny application. The source code is available on GitHub at https://github.com/PF2-pasteur-fr/checkMyIndex.
Hugo Varet, Jean-Yves Coppée
Bioinform.2
2011 Extending KNIME for next-generation sequencing data analysis
abstract
SUMMARY: KNIME (Konstanz Information Miner) is a user-friendly and comprehensive open-source data integration, processing, analysis and exploration platform. We present here new functionality and workflows that open the door to performing next-generation sequencing analysis using the KNIME framework. AVAILABILITY: All sources and compiled code are available via the KNIME update mechanism. Example workflows and descriptions are available through http://tech.knime.org/community/next-generation-sequencing. CONTACT: [email protected] SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Bernd Jagla, Bernd Wiswedel, Jean-Yves Coppée
Bioinform.3