Author

Danielle E. Tenen

Brigham and Women's Hospital

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1 Genetics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Assay:ChIP-seq· 1 Assay:CRISPR screen· 1 Approach:deep learning· 1 Assay:DNA methylation· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Assay:long-read sequencing· 1

Frequent Co-Authors

Daniel Geoffrey TeneniD· 2 shared Mahmoud Adel BassaliD· 2 shared Alexander K. Ebralidze· 1 shared Anaïs WanetiD· 1 shared Andre Wittig· 1 shared Annalisa Di RuscioiD· 1 shared Bogdan BudnikiD· 1 shared Bon Q. TrinhiD· 1 shared

Activity by Year

2021-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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2 shared papersGenetics

Daniel Geoffrey TenenORCID

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Author profile →

3 papers

Recent·Most cited

AlphaGenome-enabled analysis of non-coding regulatory variants underlying RHD expression with wet-lab validation

Miao Liu, Ziyang Shen, You Kyeong Jeong, Na Li Yu, Shang‐Chuen Wu, Andre Wittig, Danielle E. Tenen, Yanjing Liu, Jun Liu, Li Chai

This paper uses AI to identify and validate non-coding regulatory variants affecting RHD expression, showing strong agreement between predictions and experimental results.

bioRxiv · Feb 3, 2026 · PreprintGenomics

Formation and recycling of an active epigenetic mark mediated by cell cycle-specific RNAs

Alexander K. Ebralidze, Simone Ummarino, Mahmoud Adel Bassal, Haoran Zhang, Bogdan Budnik, Emanuele Monteleone, Dennis Kappei, Yanjing V. Liu, Danielle E. Tenen, Rory Coffey, Mee Rie Sheen, Yanzhou Zhang, Anaïs Wanet, Bon Q. Trinh, Valeria Poli, , Daniel Geoffrey Tenen

The paper shows that cell cycle-specific long noncoding RNAs regulate the establishment and recycling of the acetylated histone H2A.Z epigenetic mark.

bioRxiv · Oct 27, 2021 · PreprintGenetics

ChIP-AP, An Integrated ChIP-Seq Analysis Pipeline

Jeremiah Suryatenggara, Kol Jia Yong, Danielle E. Tenen, Daniel Geoffrey Tenen, Mahmoud Adel Bassal

ChIP-AP is a ChIP-Seq analysis pipeline that integrates multiple peak callers to improve peak detection confidence and comprehensiveness.

bioRxiv · Apr 18, 2021 · PreprintBioinformatics