Demo Data from SIGIR 2026 / reviewers in the wild / expert
Michaela Frye
dblp:292/9255
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2021
0000-0002-5636-6840ORCID · reported
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 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › molecular evolution
codon usage analysis |
0.5 | 1 | 2021 | CONCUR: quick and robust calculation of codon usage from ribosome profiling data · Bioinform. 2021 |
Bioinformatics and computational biology › transcriptomics
ribosome profiling |
0.5 | 1 | 2021 | CONCUR: quick and robust calculation of codon usage from ribosome profiling data · Bioinform. 2021 |
Methods — techniques the papers use, named apart from their topics
ribosome site estimation · 0.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | CONCUR: quick and robust calculation of codon usage from ribosome profiling dataabstractSUMMARY: CONCUR is a standalone tool for codon usage analysis in ribosome profiling experiments. CONCUR uses the aligned reads in BAM format to estimate codon counts at the ribosome E-, P- and A-sites and at flanking positions. AVAILABILITY AND IMPLEMENTATION: CONCUR is written in Perl and is freely available at https://github.com/susbo/concur. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Michaela Frye, Susanne Bornelöv |
Bioinform. | 1 |