Demo Data from EDBT 2026 / reviewers in the wild / expert
C. Chevalet
dblp:81/2006
· DBLP profile ↗
2ranked-venue papers
2as first author
0since 2021 · last 1997
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 2 · 2 first-author
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
2 papers |
Bioinformatics and computational biology · 100% | |
| Theoretical computer science
1 paper |
Algorithms and data structures · 100% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › statistical genetics
gene mapping |
0.0 | 1 | 1997 | Regional assignment of genetic markers using a somatic cell hybrid panel: a WWW interactive program available for the pig genome · Comput. Appl. Biosci. 1997 |
Bioinformatics and computational biology
statistical genetics |
0.0 | 1 | 1997 | Regional assignment of genetic markers using a somatic cell hybrid panel: a WWW interactive program available for the pig genome · Comput. Appl. Biosci. 1997 |
Bioinformatics and computational biology › RNA biology › RNA analysis › RNA bioinformatics
RNA secondary structure comparison |
0.0 | 1 | 1992 | An algorithm for comparing RNA secondary structures and searching for similar substructures · Comput. Appl. Biosci. 1992 |
Bioinformatics and computational biology › RNA biology › RNA analysis › RNA bioinformatics
RNA structure analysis |
0.0 | 1 | 1992 | An algorithm for comparing RNA secondary structures and searching for similar substructures · Comput. Appl. Biosci. 1992 |
Algorithms and data structures › sequence algorithms › string algorithms
tree edit distance |
0.0 | 1 | 1992 | An algorithm for comparing RNA secondary structures and searching for similar substructures · Comput. Appl. Biosci. 1992 |
Methods — techniques the papers use, named apart from their topics
tree edit algorithm · 0.0likelihood calculation · 0.0hierarchical clustering · 0.0bayes' theorem · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1997 | Regional assignment of genetic markers using a somatic cell hybrid panel: a WWW interactive program available for the pig genomeabstractMotivation: Quick and easy gene mapping by the use of a panel of cytogenetically characterized somatic cell hybrids is possible, even if some discordant experimental results arise. Results: An interactive program is proposed and is made available on a WWW site to users of a somatic cell hybrid panel. Assignments to chromosomes and subchromosomal regions are based on likelihood calculations and Bayes' theorem, and a confidence level is provided. The method is illustrated in the case of the pig genome. Availability: The program can be accessed free of charge at URL http:/ /www. toulouse. inra.fr/lgc/lgc.html. Contact: E-mail: [email protected] C. Chevalet, Jérôme Gouzy, M. SanCristobal-Gaudy |
Comput. Appl. Biosci. | 1 |
| 1992 | An algorithm for comparing RNA secondary structures and searching for similar substructuresabstractTo access the functional informations carried by RNA molecules at the level of their secondary structure interactions, we propose a comparison method based on a tree edit algorithm which takes into account the tree structure of RNA foldings. Any secondary structure is translated into a tree involving all its elementary substructures; then a shorter condensed tree is built in which any unbranched helix interspersed with bulges and interior loops is taken as a single node. This method includes several parameters: a comparison matrix between structural units, gap penalties, and the scoring between nodes of the condensed trees. Their effects have been analysed using as a model a rapidly divergent domain of the large ribosomal RNA, for which structural variation during evolution is well known. This method allows one to recognize precisely, in large target molecules, definite substructures that present with the query molecules only a limited set of closely related secondary structure features; it is still efficient if intervening features, which can correspond to insertion/deletion of entire stem regions, separate such structural elements. When coupled with a hierarchical clustering algorithm, this method is suitable for classifying RNA molecules according to their secondary structure homologies. C. Chevalet, B. Michot |
Comput. Appl. Biosci. | 1 |