Author

Ruolan Qiu

University of Washington

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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Genomics· 3

Signature Assays, Organisms & Methods

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Assay:Hi-C· 3 Approach:experimental assay· 2 Organism:human· 2 Approach:statistical model· 2 Assay:ATAC-seq· 1 Research Focus:cell type annotation· 1 Research Focus:gene regulatory network inference· 1 Organism:mouse· 1

Frequent Co-Authors

Choli LeeiD· 3 shared Jay ShendureiD· 3 shared Vijay RamaniiD· 3 shared William Stafford NobleiD· 3 shared Christine M. DistècheiD· 2 shared Giancarlo BonoraiD· 2 shared Xinxian DengiD· 2 shared Zhijun Duan· 2 shared

Activity by Year

2019-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 41 mutual co-author links

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3 shared papersGenomics

Choli LeeORCID

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3 papers

Recent·Most cited

Single-cell landscape of nuclear configuration and gene expression during stem cell differentiation and X inactivation

Giancarlo Bonora, Vijay Ramani, Ritambhara Singh, He Fang, Dana L. Jackson, Sanjay R Srivatsan, Ruolan Qiu, Choli Lee, Cole Trapnell, Jay Shendure, Zhijun Duan, Xinxian Deng, William Stafford Noble, Christine M. Distèche

The paper integrates single-cell RNA-seq, ATAC-seq, and Hi-C data to study nuclear configuration and gene expression changes during stem cell differentiation and X inactivation, revealing discrete structural changes and delayed chromatin compaction.

Genome biology · Sep 27, 2021Peer-reviewedGenomics

Capturing cell type-specific chromatin structural patterns by applying topic modeling to single-cell Hi-C data

Hyeon-Jin Kim, Galip Gürkan Yardımcı, Giancarlo Bonora, Vijay Ramani, Jie Liu, Ruolan Qiu, Choli Lee, Jennifer Hesson, Carol B. Ware, Jay Shendure, Zhijun Duan, William Stafford Noble

This study uses topic modeling on scHi-C data to identify cell type-specific chromatin structural patterns and compartment structures.

bioRxiv · Nov 18, 2019 · PreprintGenomics

Sci-Hi-C: a single-cell Hi-C method for mapping 3D genome organization in large number of single cells

Vijay Ramani, Xinxian Deng, Ruolan Qiu, Choli Lee, Christine M. Distèche, William Stafford Noble, Jay Shendure, Zhijun Duan

Sci-Hi-C is a single-cell Hi-C method that maps 3D genome organization in large numbers of single cells, enabling analysis of chromatin interactions and cellular variability.

Methods · Sep 16, 2019Peer-reviewedGenomics