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. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page
Demo Data from EDBT 2026 / reviewers in the wild / expert

Hugo Varet

dblp:236/6502 · DBLP profile ↗
← Back
1ranked-venue papers
1as first author
0since 2021 · last 2019
—ORCID · unresolved

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

Applied, interdisciplinary, general and emerging computing · 1 · 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
1 paper
Bioinformatics and computational biology · 100%

Topics — the 1 heaviest of 1, 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
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.1