Demo Data from EDBT 2026 / reviewers in the wild / expert
Eric Coissac
dblp:75/6629
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2007
0000-0001-7507-6729ORCID · 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 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › sequence analysis › repeat detection
approximate repeat detection |
0.1 | 1 | 2007 | Repseek, a tool to retrieve approximate repeats from large DNA sequences · Bioinform. 2007 |
Bioinformatics and computational biology
sequence analysis |
0.1 | 1 | 2007 | Repseek, a tool to retrieve approximate repeats from large DNA sequences · Bioinform. 2007 |
Methods — techniques the papers use, named apart from their topics
sequence alignment · 0.1seed extension · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2007 | Repseek, a tool to retrieve approximate repeats from large DNA sequencesabstractUNLABELLED: Chromosomes or other long DNA sequences contain many highly similar repeated sub-sequences. While there are efficient methods for detecting strict repeats or detecting already characterized repeats, there is no software available for detecting approximate repeats in large DNA sequences allowing for weighted substitutions and indels in a coherent statistical framework. Here, we present an implementation of a two-steps method (seed detection followed by their extension) that detects those approximate repeats. Our method is computationally efficient enough to handle large sequences and is flexible enough to account for influencing factors, such as sequence-composition biases both at the seed detection and alignment levels. AVAILABILITY: http://wwwabi.snv.jussieu.fr/public/RepSeek/ Guillaume Achaz, Frédéric Boyer, Eduardo P. C. Rocha, Alain Viari, Eric Coissac |
Bioinform. | 5 |