Demo Data from EDBT 2026 / reviewers in the wild / expert
Piyush Ranjan
dblp:326/4570
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2022
—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 · 1 since 2021
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 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 |
0.6 | 1 | 2022 | SNIKT: sequence-independent adapter identification and removal in long-read shotgun sequencing data · Bioinform. 2022 |
Methods — techniques the papers use, named apart from their topics
sequence-independent adapter identification · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | SNIKT: sequence-independent adapter identification and removal in long-read shotgun sequencing dataabstractSUMMARY: Here, we introduce SNIKT, a command-line tool for sequence-independent visual confirmation and input-assisted removal of adapter contamination in whole-genome shotgun or metagenomic shotgun long-read sequencing DNA or RNA data. AVAILABILITY AND IMPLEMENTATION: SNIKT is implemented in R and is compatible with Unix-like platforms. The source code, along with documentation, is freely available under an MIT license at https://github.com/piyuranjan/SNIKT. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Piyush Ranjan, Christopher A. Brown, John R. Erb-Downward, Robert P. Dickson |
Bioinform. | 1 |