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BMC Proceedings|December 19, 2008
Machine learning techniques to identify putative genes involved in nitrogen catabolite repression in the yeast Saccharomyces cerevisiaeKevin Kontos, Patrice Godard, Bruno André, et al.Nature Protocols|September 20, 2008
Using RSAT to scan genome sequences for transcription factor binding sites and cis-regulatory modulesJean-Valery Turatsinze, Morgane Thomas-Chollier, Matthieu Defrance, et al.Environmental Chemistry Letters|February 9, 2021
Tracing the origins of SARS-COV-2 in coronavirus phylogenies: a reviewErwan Sallard, José Halloy, Didier Casane, et al.BMC Genomics|April 9, 2013
Transcriptional and epigenetic signatures of zygotic genome activation during early Drosophila embryogenesisElodie Darbo, Carl Herrmann, Thomas Lecuit, et al.Methods in Molecular Biology (Clifton, N.J.)|August 26, 2016
RSAT::Plants: Motif Discovery in ChIP-Seq Peaks of Plant GenomesJaime A Castro-Mondragon, Claire Rioualen, Bruno Contreras-Moreira, et al.Journal of Molecular Biology|September 16, 2006
Modularity of the transcriptional response of protein complexes in yeastNicolas Simonis, Didier Gonze, Chris Orsi, et al.Nature Protocols|September 20, 2008
Network Analysis Tools: from biological networks to clusters and pathwaysSylvain Brohée, Karoline Faust, Gipsi Lima-Mendez, et al.Nucleic Acids Research|December 6, 2014
Integrative analysis of public ChIP-seq experiments reveals a complex multi-cell regulatory landscapeAurélien Griffon, Quentin Barbier, Jordi Dalino, et al.Microbial Genomics|September 14, 2020
Ancestral state reconstruction of metabolic pathways across pangenome ensemblesFotis E Psomopoulos, Jacques van Helden, Claudine Médigue, et al.Nucleic Acids Research|December 14, 2011
RSAT peak-motifs: motif analysis in full-size ChIP-seq datasetsMorgane Thomas-Chollier, Carl Herrmann, Matthieu Defrance, et al.Pageof 8