Demo Data from VLDB 2026 / reviewers in the wild / expert
Judith Risse
dblp:246/1275
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › sequence analysis › sequence assembly › genome assembly
de novo assembly |
0.4 | 1 | 2019 | poreTally: run and publish de novo nanopore assembler benchmarks · Bioinform. 2019 |
Bioinformatics and computational biology › sequence analysis
sequence assembly |
0.4 | 1 | 2019 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2019 | poreTally: run and publish de novo nanopore assembler benchmarksabstractSUMMARY: 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frequently and extensively, which quickly renders peer-reviewed publications on analysis pipeline benchmarking efforts outdated.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 |