Author

Nan Hua

University of California, Los AngelesPrimary ORCID profile (0000-0002-2152-1273 · 1 paper)Unclaimed ORCID profile · follow to get notified of new preprints

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

Same name, identified by ORCID

Nan HuaiD1 paper · Shanghai Jiao Tong University

Biology Disciplines

Click to filter author papers

Genomics· 2 Bioinformatics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:Hi-C· 3 Approach:statistical model· 2 Research Focus:benchmarking· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Approach:simulation· 1 Research Focus:software / tool· 1 Research Focus:spatial domain detection· 1

Frequent Co-Authors

Frank AlberiD· 3 shared Ke Qin GongiD· 2 shared Xianghong Jasmine ZhouiD· 2 shared Aslı YıldırımiD· 1 shared Guido PollesiD· 1 shared Hanjun Shin· 1 shared Harianto TjongiD· 1 shared Jiang XuiD· 1 shared

Activity by Year

2018-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 23 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

3 shared papersGenomics

Frank AlberORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Cryomilling Tethered Chromatin Conformation Capture reveal new insights into inter-chromosomal interactions

Jiang Xu, Sanjeev Kumar, Nan Hua, Yi Kou, Xiao Lei, Michael P. Rout, John D. Aitchison, Frank Alber, Lin Chen

This paper introduces CTCC, a method using cryomilling to map chromatin interactions, showing it can generate global contact maps similar to Hi-C but with enhanced signal for stable inter-chromosomal contacts.

bioRxiv · Feb 3, 2022 · PreprintGenomics

Population-based structure modeling reveals key roles of nuclear microenvironment in gene functions

Aslı Yıldırım, Nan Hua, Lorenzo Boninsegna, Guido Polles, Ke Qin Gong, Shengli Hao, Wenyuan Li, Xianghong Jasmine Zhou, Frank Alber

The paper uses population-based modeling of Hi-C data to analyze the nuclear microenvironment's role in gene function, revealing structural variability and functional heterogeneity.

bioRxiv · Jul 11, 2021 · PreprintGenomics

PGS: a dynamic and automated population-based genome structure software

Nan Hua, Harianto Tjong, Hanjun Shin, Ke Qin Gong, Xianghong Jasmine Zhou, Frank Alber

PGS generates a population of 3D genome structures from Hi-C data to better understand genome organization and provides analysis tools.

Nature Protocols · Apr 5, 2018Peer-reviewedBioinformatics