Author

Simon T. Jakobsen

University of Southern DenmarkORCID 0000-0002-6343-0660Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Research Focus:gene regulatory network inference· 2 Organism:human· 2 Approach:statistical model· 2 Assay:ChIP-seq· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Approach:experimental assay· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Christian Dalager Vaagensø· 1 shared Hjörleifur EinarssoniD· 1 shared Junil KimiD· 1 shared Kedar Nath NatarajaniD· 1 shared Kyoung‐Jae WoniD· 1 shared Maria S. MadseniD· 1 shared Ole Nørregaard JenseniD· 1 shared Rasmus SiersbækiD· 1 shared

Activity by Year

2020-2023 · peak 1/yr

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10 top collaborators · 24 mutual co-author links

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1 shared paperGenomics

Christian Dalager Vaagensø

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2 papers

Recent·Most cited

GenomicsbioRxivPreprintJan 6, 2023

MYC enhancer invasion promotes prognostic cancer type-specific gene programs through an epigenetic switch

Simon T. Jakobsen, Rikke AM. Jensen, Tina Ravnsborg…·Rasmus Siersbæk

The paper shows MYC enhances cancer-specific gene programs by inducing an epigenetic switch that promotes RNAPII recruitment to enhancers.

DOI 10.1101/2023.01.06.522970

𝕏 PostBluesky

BioinformaticsNucleic Acids ResearchPeer-reviewedOct 14, 2020

TENET: Gene network reconstruction using transfer entropy reveals key regulatory factors from single cell transcriptomic data

Junil Kim, Simon T. Jakobsen, Kedar Nath Natarajan, Kyoung‐Jae Won

TENET reconstructs gene regulatory networks from scRNA-seq data using transfer entropy, identifying key regulators with better performance than existing methods.

53 citations

𝕏 PostBluesky