EDBT 2026 Demo / reviewers in the wild / expert
Jean-Yves Coppée
dblp:74/3111
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › sequence analysis
sequencing data processing |
0.4 | 1 | 2019 | checkMyIndex: a web-based R/Shiny interface for choosing compatible sequencing indexes · Bioinform. 2019 |
Bioinformatics and computational biology › genomics
next-generation sequencing data analysis |
0.1 | 1 | 2011 | Extending KNIME for next-generation sequencing data analysis · Bioinform. 2011 |
Methods — techniques the papers use, named apart from their topics
workflow integration · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2019 | checkMyIndex: a web-based R/Shiny interface for choosing compatible sequencing indexesabstractSUMMARY: 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 analysisabstractSUMMARY: 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 |