Demo Data from SIGIR 2026 / reviewers in the wild / expert
Benjamin Schwessinger
dblp:235/6754
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2019
0000-0002-7194-2922ORCID · reported
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 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › genomics
computational genomics |
0.4 | 1 | 2019 | MinIONQC: fast and simple quality control for MinION sequencing data · Bioinform. 2019 |
Bioinformatics and computational biology › sequence analysis › sequencing data processing
sequencing quality control |
0.4 | 1 | 2019 | MinIONQC: fast and simple quality control for MinION sequencing data · Bioinform. 2019 |
Bioinformatics and computational biology › sequence analysis
sequencing data analysis |
0.1 | 1 | 2019 | MinIONQC: fast and simple quality control for MinION sequencing data · Bioinform. 2019 |
Methods — techniques the papers use, named apart from their topics
quality metrics · 0.4diagnostic plots · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2019 | MinIONQC: fast and simple quality control for MinION sequencing dataabstractSummary: MinIONQC provides rapid diagnostic plots and quality control data from one or more flowcells of sequencing data from Oxford Nanopore Technologies' MinION instrument. It can be used to assist with the optimisation of extraction, library preparation, and sequencing protocols, to quickly and directly compare the data from many flowcells, and to provide publication-ready figures summarising sequencing data. Availability and implementation: MinIONQC is implemented in R and released under an MIT license. It is available for all platforms from https://github.com/roblanf/minion_qc. Robert Lanfear, Miriam Schalamun, David Kainer, Benjamin Schwessinger |
Bioinform. | 5 |