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

Judith Risse

dblp:246/1275 · DBLP profile ↗
← Back
1ranked-venue papers
0as 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

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 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › sequence analysis › sequence assembly › genome assembly
de novo assembly
0.412019
poreTally: run and publish de novo nanopore assembler benchmarks · Bioinform. 2019
Bioinformatics and computational biology › sequence analysis
sequence assembly
0.412019
poreTally: run and publish de novo nanopore assembler benchmarks · Bioinform. 2019

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

quality assessment · 0.4pipeline automation · 0.4
YearPublicationVenuePosition
2019 poreTally: run and publish de novo nanopore assembler benchmarks
abstract
SUMMARY: Nanopore sequencing is a novel development in nucleic acid analysis. As such, nanopore-sequencing hardware and software are updated frequently and extensively, which quickly renders peer-reviewed publications on analysis pipeline benchmarking efforts outdated. To provide the user community with a faster, more flexible alternative to peer-reviewed benchmark papers for de novo assembly tool performance we constructed poreTally, a comprehensive benchmarking tool. poreTally automatically assembles a given read set using several often-used assembly pipelines, analyzes the resulting assemblies for correctness and continuity, and finally generates a quality report, which can immediately be published on Github/Gitlab. AVAILABILITY AND IMPLEMENTATION: poreTally is available on Github at https://github.com/ cvdelannoy/poreTally, under an MIT license. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Carlos de Lannoy, Judith Risse, Dick de Ridder
Bioinform.2