Author

Tristan Dubos

Centre National de la Recherche ScientifiqueORCID 0000-0002-4265-2379Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Bioinformatics· 2 Genetics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Organism:Arabidopsis· 2 Research Focus:cell type annotation· 2 Research Focus:gene regulatory network inference· 2 Approach:statistical model· 2 Research Focus:database / resource· 1 Approach:experimental assay· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

Axel PouletiD· 2 shared Christophe TatoutiD· 2 shared Aline V. ProbstiD· 1 shared Ben LiiD· 1 shared Célia BarouxiD· 1 shared David M. GilbertiD· 1 shared Emilie PéryiD· 1 shared Emmanuel VanrobaysiD· 1 shared

Activity by Year

2018-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersBioinformatics

Axel PouletORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Evolutionary conserved protein motifs drive attachment of the plant nucleoskeleton at nuclear pores

Sarah Mermet, Maxime Voisin, Joris Mordier, Tristan Dubos, Sylvie Tutois, Pierre Tufféry, Célia Baroux, Kentaro Tamura, Aline V. Probst, Emmanuel Vanrobays, Christophe Tatout

The paper identifies conserved protein motifs in KAKU4 and related nucleoporins that mediate nucleoskeleton attachment to nuclear pores in plants.

The Plant Cell · Sep 21, 2023Peer-reviewedGenetics

NODeJ: an ImageJ plugin for 3D segmentation of nuclear objects

Tristan Dubos, Axel Poulet, Geoffrey Thomson, Emilie Péry, Frédéric Chausse, Christophe Tatout, Sophie Desset, Josien C. van Wolfswinkel, Yannick Jacob

NODeJ is an ImageJ plugin that automates 3D segmentation of nuclear objects, improving efficiency and reducing bias in analyzing chromatin organization.

BMC Bioinformatics · Jun 6, 2022Peer-reviewedBioinformatics

RT States: systematic annotation of the human genome using cell type-specific replication timing programs

Axel Poulet, Ben Li, Tristan Dubos, Juan Carlos Rivera‐Mulia, David M. Gilbert, Zhaohui Steve Qin

The paper defines RT states as cell type-specific replication timing profiles using a Hidden Markov Model and finds they provide new functional insights into the human genome.

Bioinformatics · Nov 21, 2018Peer-reviewedBioinformatics