Author

Tai Chen

BGI Group (China)ORCID 0000-0002-1326-9901Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:DNA methylation· 2 Approach:experimental assay· 2 Organism:yeast· 2 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Research Focus:protein structure prediction· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Huanming YangiD· 2 shared Shihong CheniD· 2 shared Xun XuiD· 2 shared Yue SheniD· 2 shared Cheng ZengiD· 1 shared Daniel SchindleriD· 1 shared Feng GaoiD· 1 shared George McDonald ChurchiD· 1 shared

Activity by Year

2022-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 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

2 shared papersSynthetic Biology

Huanming YangORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Dissecting aneuploidy phenotypes by constructing Sc2.0 chromosome VII and SCRaMbLEing synthetic disomic yeast

Yue Shen, Feng Gao, Yun Wang, Yuerong Wang, Zheng Ju, Jianhui Gong, Jintao Zhang, Zhouqing Luo, Daniel Schindler, Yang Deng, Weichao Ding, Tao Lin, Reem Swidah, Hongcui Zhao, Shuangying Jiang, , Yizhi Cai

The paper constructs a synthetic disomic yeast using SCRaMbLE and a newly synthesized chromosome to study aneuploidy phenotypes, finding that both copy number and specific chromosomal regions affect fitness.

Cell Genomics · Nov 1, 2023Peer-reviewedSynthetic Biology

Towards Practical and Robust DNA-based Data Archiving Using "Yin-Yang Codec" System

Zhi Ping, Shihong Chen, Guangyu Zhou, Xiaoluo Huang, Sha Joe Zhu, Haoling Zhang, Henry H. Lee, Zhaojun Lan, Jie Cui, Tai Chen, Wenwei Zhang, Huanming Yang, Xun Xu, George McDonald Church, Yue Shen

This paper introduces a DNA-based data archiving system called Yin-Yang Codec, which achieves high recovery rates and physical information density in both in vitro and in vivo storage.

Nature Computational Science · Apr 25, 2022Peer-reviewedSynthetic Biology