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François Robert

Researcher at Université de Montréal

Publications -  90
Citations -  13648

François Robert is an academic researcher from Université de Montréal. The author has contributed to research in topics: RNA polymerase II & Promoter. The author has an hindex of 39, co-authored 81 publications receiving 12935 citations. Previous affiliations of François Robert include Massachusetts Institute of Technology.

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Transcriptional Regulatory Networks in Saccharomyces cerevisiae

TL;DR: This work determines how most of the transcriptional regulators encoded in the eukaryote Saccharomyces cerevisiae associate with genes across the genome in living cells, and identifies network motifs, the simplest units of network architecture, and demonstrates that an automated process can use motifs to assemble a transcriptional regulatory network structure.
PatentDOI

Genome-wide location and function of dna binding proteins

TL;DR: In this paper, a method for identifying a set of genes where cell cycle regulator binding correlates with gene expression and identifying genomic targets of cell cycle transcription activators in living cells is also encompassed.
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Targeted Recruitment of Set1 Histone Methylase by Elongating Pol II Provides a Localized Mark and Memory of Recent Transcriptional Activity

TL;DR: Hypermethylated H3-K4 within the mRNA coding region persists for considerable time after transcriptional inactivation and Set1 dissociation from the chromatin, indicating that H3/K4 hypermethylation provides a molecular memory of recent transcriptional activity.
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Gold Deposits in Metamorphic Belts: Overview of Current Understanding,Outstanding Problems, Future Research, and Exploration Significance

TL;DR: Gold-dominant intrusion-related deposits are a less coherent group of deposits, which are mainly Phanerozoic in age, and include a few world-class, but no unequivocal giant, examples as discussed by the authors.
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Computational discovery of gene modules and regulatory networks.

TL;DR: An algorithm for discovering regulatory networks of gene modules, GRAM (Genetic Regulatory Modules), that combines information from genome-wide location and expression data sets and explicitly links genes to the factors that regulate them by incorporating DNA binding data, which provide direct physical evidence of regulatory interactions.