Author

Brian Raught

Primary ORCID profile (0000-0001-6145-4776 · 14 papers)Unclaimed ORCID profile · follow to get notified of new preprints

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Same name, identified by ORCID

Brian RaughtiD14 papers · University Health Network

Biology Disciplines

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Cell Biology· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Research Focus:cell signaling & trafficking· 1 Research Focus:cell type annotation· 1 Assay:ChIP-seq· 1 Research Focus:chromatin & epigenetic regulation· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Organism:mouse· 1

Frequent Co-Authors

Anne-Claude Gingras· 1 shared Bradley W. Doble✉· 1 shared Brett Larsen· 1 shared Caleb Seo· 1 shared Cassandra J Wong· 1 shared Deborah Ng· 1 shared Enio Polena· 1 shared Linda Z. Penn· 1 shared

Activity by Year

2016-2018 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperCell Biology

Anne-Claude Gingras

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2 papers

Recent·Most cited

Endogenous BioID elucidates TCF7L1 interactome modulation upon GSK-3 inhibition in mouse ESCs

Steven Moreira, Caleb Seo, Victor Gordon, Sansi Xing, Ruilin Wu, Enio Polena, Vincent Fung, Deborah Ng, Cassandra J Wong, Brett Larsen, Brian Raught, Anne-Claude Gingras, Yu Lu, Bradley W. Doble✉

The paper uses BioID to study TCF7L1 interactome changes in mouse ESCs with GSK-3 inhibition, identifying new interactors and showing increased detection with reduced BirA*-TCF7L1 levels.

bioRxiv · Oct 1, 2018 · PreprintCell Biology

Learning the human chromatin network from all ENCODE ChIP-seq data

Scott M. Lundberg, William B. Tu, Brian Raught, Linda Z. Penn, Michael M. Hoffman, Su-In Lee

The paper introduces ChromNet, a method to infer chromatin networks from ChIP-seq data, and applies it to ENCODE data to identify known and novel regulatory interactions.

bioRxiv · Jan 18, 2016Genomics