Demo Data from EDBT 2026 / reviewers in the wild / expert
Grégory Ranchy
dblp:02/649
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2005
—ORCID · none
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 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › sequence analysis
pattern matching |
0.1 | 1 | 2005 | Suffix-tree analyser (STAN): looking for nucleotidic and peptidic patterns in chromosomes · Bioinform. 2005 |
Bioinformatics and computational biology
sequence analysis |
0.1 | 1 | 2005 | Suffix-tree analyser (STAN): looking for nucleotidic and peptidic patterns in chromosomes · Bioinform. 2005 |
Methods — techniques the papers use, named apart from their topics
suffix tree · 0.1multipart matching · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2005 | Suffix-tree analyser (STAN): looking for nucleotidic and peptidic patterns in chromosomesabstractSUMMARY: We have developed STAN (suffix-tree analyser), a tool to search for nucleotidic and peptidic patterns within whole chromosomes. Pattern syntax uses a string variable grammar-like formalism which allows the description of complex patterns including ambiguities, insertions/deletions, gaps, repeats and palindromes. STAN is based on a reduction to multipart matching on a suffix-tree data structure and can handle large DNA sequences, whether assembled or not. Jacques Nicolas, Patrick Durand, Grégory Ranchy, Sébastien Tempel, Anne-Sophie Valin |
Bioinform. | 3 |