Demo Data from EDBT 2026 / reviewers in the wild / expert
Piotr Wlodzimierz
dblp:370/4520
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2023
0000-0003-1040-7878ORCID · 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
genomics |
0.7 | 1 | 2023 | TRASH: Tandem Repeat Annotation and Structural Hierarchy · Bioinform. 2023 |
Bioinformatics and computational biology › sequence analysis › repeat detection
tandem repeat annotation |
0.7 | 1 | 2023 | TRASH: Tandem Repeat Annotation and Structural Hierarchy · Bioinform. 2023 |
Methods — techniques the papers use, named apart from their topics
long-read assembly analysis · 0.7de novo repeat annotation · 0.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | TRASH: Tandem Repeat Annotation and Structural HierarchyabstractMOTIVATION: The advent of long-read DNA sequencing is allowing complete assembly of highly repetitive genomic regions for the first time, including the megabase-scale satellite repeat arrays found in many eukaryotic centromeres. The assembly of such repetitive regions creates a need for their de novo annotation, including patterns of higher order repetition. To annotate tandem repeats, methods are required that can be widely applied to diverse genome sequences, without prior knowledge of monomer sequences. RESULTS: Tandem Repeat Annotation and Structural Hierarchy (TRASH) is a tool that identifies and maps tandem repeats in nucleotide sequence, without prior knowledge of repeat composition. TRASH analyses a fasta assembly file, identifies regions occupied by repeats and then precisely maps them and their higher order structures. To demonstrate the applicability and scalability of TRASH for centromere research, we apply our method to the recently published Col-CEN genome of Arabidopsis thaliana and the complete human CHM13 genome. AVAILABILITY AND IMPLEMENTATION: TRASH is freely available at:https://github.com/vlothec/TRASH and supported on Linux. Piotr Wlodzimierz, Michael Hong, Ian R. Henderson |
Bioinform. | 1 |