Author

Su Wang

Harvard UniversityORCID 0000-0002-9463-6530Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Developmental Biology· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Research Focus:gene regulatory network inference· 2 Assay:Hi-C· 2 Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Assay:ChIP-seq· 1 Research Focus:differential expression· 1 Research Focus:GWAS / association mapping· 1

Frequent Co-Authors

Peter J. ParkiD· 2 shared Anurag SethiiD· 1 shared Arif O. HarmanciiD· 1 shared B. AlveriD· 1 shared ChangHee LeeiD· 1 shared Chao ChengiD· 1 shared Chong ChuiD· 1 shared Chongzhi ZangiD· 1 shared

Activity by Year

2020-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

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2 shared papersDevelopmental Biology

Peter J. ParkORCID

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3 papers

Recent·Most cited

Otx2 and Oc1 directly regulate the transcriptional program of cone photoreceptor development

Nicolas Lonfat, Su Wang, ChangHee Lee, M Garcia, Jiho Choi, Peter J. Park, Constance L. Cepko

The paper identifies cis-regulatory modules regulated by Otx2 and Oc1 in cone photoreceptor development and shows Otx2 autoregulation.

Development · Apr 24, 2021Peer-reviewedDevelopmental Biology

An integrative ENCODE resource for cancer genomics

Jing Zhang, Donghoon Lee, Vineet K. Dhiman, Peng Jiang, Jie Xu, Patrick D. McGillivray, Hongbo Yang, Jason J. Liu, William U. Meyerson, Declan Clarke, Mengting Gu, Shantao Li, Shaoke Lou, Jinrui Xu, Lucas Lochovsky, , Mark Gerstein

The paper develops a custom ENCODE annotation for cancer genomics, highlighting TF-RBP interactions and network rewiring during oncogenesis, and validates findings using experimental assays.

Nature Communications · Jul 29, 2020Peer-reviewedGenomics

HiNT: a computational method for detecting copy number variations and translocations from Hi-C data

Su Wang, Soohyun Lee, Chong Chu, Dhawal S. Jain, Peter Kerpedjiev, Geoffrey M. Nelson, Jennifer M. Walsh, B. Alver, Peter J. Park

HiNT detects copy number variations and translocations from Hi-C data with single base-pair resolution, outperforming existing methods on simulated and real data.

Genome biology · Mar 23, 2020Peer-reviewedBioinformatics