68589-Duren, Zhana

Zhana Duren, PhD

Associate Professor of Medical & Molecular Genetics

Address
HS 5021
MMGE
Indianapolis, IN

Bio

Zhana Duren, Ph.D, is an Associate Professor of Medical and Molecular Genetics at the Indiana University School of Medicine. Dr. Duren’s research focuses on development of computational methods and bioinformatics tools for integration of multi-omics and gene regulatory networks. The long-term research goal is to answer the key scientific question” How non-coding genetic variant act through context specific gene regulatory network to influence phenotype”.

 

Duren Lab Website (https://durenlab.com/)

Key Publications

Qiuyue Yuan and Zhana Duren. Inferring gene regulatory networks from single cell multiome data using atlas-scale external data. Nature Biotechnology (2024): 1-11.

Qiuyue Yuan and Zhana Duren. Integration of single-cell multi-omics data by regression analysis on unpaired observations. Genome Biology (2022).

Zhana Duren*#, Fengge Chang*, Fnu Naqing, Jingxue Xin, Qiao Liu, and Wing Hung Wong#. Regulatory analysis of single cell multiome gene expression and chromatin accessibility data with scREG. Genome Biology (2022).

Zhana Duren*, Wenhui Sophia Lu*, Joseph G Arthur, Preyas Shah, Jingxue Xin, Francesca Meschi, Miranda Lin Li, Corey M Nemec, Yifeng Yin, and Wing Hung Wong. Sc-compReg enables the comparison of gene regulatory networks between conditions using single-cell data. Nature Communications (2021).

Xiang Zhu, Zhana Duren, and Wing Hung Wong. Modeling regulatory network topology improves genome-wide analyses of complex human traits. Nature Communications (2021).

Jingxue Xin*, Hui Zhang*, Yaoxi He*, Zhana Duren*, Chaoying Cui*, Lang Chen, Xin Luo, Dong-Sheng Yan, Chaoyu Zhang, Xiang Zhu, Qiuyue Yuan, Xuebing Qi, Ouzhuluobu, Wing Hung Wong, Yong Wang, and Bing Su. Chromatin accessibility landscape and regulatory network of high-altitude hypoxia adaptation. Nature Communications (2020).

Wenran Li*, Zhana Duren*, Rui Jiang, and Wing Hung Wong.  A method for scoring the cell-type specific impacts of non-coding variants in personal genomics. Proceedings of the National Academy of Sciences (2020).

Zhana Duren*, Xi Chen*, Jingxue Xin, Yong Wang and Wing Hung Wong. Time course regulatory analysis based on paired expression and chromatin accessibility data. Genome Research (2020): gr-257063.

Wanwen Zeng*, Xi Chen*, Zhana Duren*, Yong Wang, Rui Jiang, and Wing Hung Wong. DC3 is a method for deconvolution and coupled clustering from bulk and single-cell genomics data. Nature Communications, 10.1 (2019): 1-11.

Zhana Duren*, Xi Chen*, Mahdi Zamanighomi*, Wanwen Zeng, Ansuman T. Satpathy, Howard Y. Chang, Yong Wang, and Wing Hung Wong. Integrative analysis of single-cell genomics data by coupled nonnegative matrix factorizations. Proceedings of the National Academy of Sciences 115.30 (2018): 7723-7728.

Zhana Duren, Xi Chen, Rui Jiang, Yong Wang, and Wing Hung Wong. Modeling gene regulation from paired expression and chromatin accessibility data. Proceedings of the National Academy of Sciences (2017): 201704553.

A full list of Dr. Duren's publications can be accessed here.

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