Author

A. Gesine Cauer

University of WashingtonORCID 0000-0001-9426-8769Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Assay:Hi-C· 2 Approach:statistical model· 2 Research Focus:dimensionality reduction· 1 Research Focus:fine-mapping· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Organism:mouse· 1

Frequent Co-Authors

William Stafford NobleiD· 2 shared Achyuth KalluchiiD· 1 shared Ailun WangiD· 1 shared Akshay KrishnaiD· 1 shared Arina D. OmeriD· 1 shared Aviva Presser AideniD· 1 shared Devika Udupa· 1 shared Dimos GoundaroulisiD· 1 shared

Activity by Year

2019-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersGenomics

William Stafford NobleORCID

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2 papers

Recent·Most cited

GenomicsNature CommunicationsPeer-reviewedJun 6, 2023

Fine-mapping of nuclear compartments using ultra-deep Hi-C shows that active promoter and enhancer elements localize in the active A compartment even when adjacent sequences do not

Hannah L. Harris, Huiya Gu, Moshe Olshansky…·M. Jordan Rowley

The paper uses ultra-deep Hi-C and a new computational method to fine-map nuclear compartments, revealing that active promoters and enhancers localize in the A compartment even when adjacent sequences are inactive.

184 citationstop 1%

humanHi-C

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BioinformaticsbioRxivPreprintMay 21, 2019

Inferring diploid 3D chromatin structures from Hi-C data

A. Gesine Cauer, Gürkan Yardimci, Jean‐Philippe Vert…·William Stafford Noble

This paper introduces a method to infer 3D diploid chromatin structures from Hi-C data and validates it on simulated and mouse chromosome X data.

11 citations

mouseHi-C

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