Demo Data from EDBT 2026 / reviewers in the wild / expert
Cédric Vaillant
dblp:22/11313
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2018
0000-0003-2208-3831ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 2
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 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › sequence analysis › sequence motif analysis
position weight matrix |
0.3 | 1 | 2018 | ThreaDNA: predicting DNA mechanics' contribution to sequence selectivity of proteins along whole genomes · Bioinform. 2018 |
Bioinformatics and computational biology › protein analysis › protein bioinformatics
protein-DNA interaction |
0.3 | 1 | 2018 | ThreaDNA: predicting DNA mechanics' contribution to sequence selectivity of proteins along whole genomes · Bioinform. 2018 |
Bioinformatics and computational biology
sequence analysis |
0.3 | 1 | 2018 | ThreaDNA: predicting DNA mechanics' contribution to sequence selectivity of proteins along whole genomes · Bioinform. 2018 |
Methods — techniques the papers use, named apart from their topics
position-weight-matrix formalism · 0.3nanoscale modeling of DNA deformation · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2018 | ThreaDNA: predicting DNA mechanics' contribution to sequence selectivity of proteins along whole genomesabstractMotivation: Many DNA-binding proteins recognize their target sequences indirectly, by sensing DNA's response to mechanical distortion. ThreaDNA estimates this response based on high-resolution structures of the protein-DNA complex of interest. Implementing an efficient nanoscale modeling of DNA deformations involving essentially no adjustable parameters, it returns the profile of deformation energy along whole genomes, at base-pair resolution, within minutes on usual laptop/desktop computers. Our predictions can also be easily combined with estimations of direct selectivity through a generalized form of position-weight-matrices. The formalism of ThreaDNA is accessible to a wide audience. Results: We demonstrate the importance of indirect readout for the nucleosome as well as the bacterial regulators Fis and CRP. Combined with the direct contribution provided by usual sequence motifs, it significantly improves the prediction of sequence selectivity, and allows quantifying the two distinct physical mechanisms underlying it. Availability and implementation: Python software available at bioinfo.insa-lyon.fr, natively executable on Linux/MacOS systems with a user-friendly graphical interface. Galaxy webserver version available. Contact: [email protected]. Supplementary information: Supplementary data are available at Bioinformatics online. Jasmin Cevost, Cédric Vaillant, Sam Meyer |
Bioinform. | 2 |
| 2012 | Replication Fork Polarity Gradients Revealed by Megabase-Sized U-Shaped Replication Timing Domains in Human Cell LinesabstractIn higher eukaryotes, replication program specification in different cell types remains to be fully understood. We show for seven human cell lines that about half of the genome is divided in domains that display a characteristic U-shaped replication timing profile with early initiation zones at borders and late replication at centers. Significant overlap is observed between U-domains of different cell lines and also with germline replication domains exhibiting a N-shaped nucleotide compositional skew. From the demonstration that the average fork polarity is directly reflected by both the compositional skew and the derivative of the replication timing profile, we argue that the fact that this derivative displays a N-shape in U-domains sustains the existence of large-scale gradients of replication fork polarity in somatic and germline cells. Analysis of chromatin interaction (Hi-C) and chromatin marker data reveals that U-domains correspond to high-order chromatin structural units. We discuss possible models for replication origin activation within U/N-domains. The compartmentalization of the genome into replication U/N-domains provides new insights on the organization of the replication program in the human genome. Antoine Baker, Benjamin Audit, Chun-Long Chen, Benoit Moindrot, Antoine Leleu, Guillaume Guilbaud, Aurélien Rappailles, Cédric Vaillant, Arach Goldar, Fabien Mongelard, Yves D'Aubenton-Carafa, Olivier Hyrien, Claude Thermes, Alain Arneodo |
PLoS Comput. Biol. | 8 |