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Zhengdong D. Zhang

Researcher at Albert Einstein College of Medicine

Publications -  84
Citations -  18056

Zhengdong D. Zhang is an academic researcher from Albert Einstein College of Medicine. The author has contributed to research in topics: Gene & Human genome. The author has an hindex of 36, co-authored 72 publications receiving 16777 citations. Previous affiliations of Zhengdong D. Zhang include Baylor College of Medicine & University of Houston.

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Identification and analysis of functional elements in 1% of the human genome by the ENCODE pilot project

Ewan Birney, +320 more
- 14 Jun 2007 - 
TL;DR: Functional data from multiple, diverse experiments performed on a targeted 1% of the human genome as part of the pilot phase of the ENCODE Project are reported, providing convincing evidence that the genome is pervasively transcribed, such that the majority of its bases can be found in primary transcripts.

An integrated encyclopedia of DNA elements in the human genome

Ian Dunham, +442 more
TL;DR: The Encyclopedia of DNA Elements project provides new insights into the organization and regulation of the authors' genes and genome, and is an expansive resource of functional annotations for biomedical research.
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Genome sequence of the Brown Norway rat yields insights into mammalian evolution

Richard A. Gibbs, +242 more
- 01 Apr 2004 - 
TL;DR: This first comprehensive analysis of the genome sequence of the Brown Norway (BN) rat strain is reported, which is the third complete mammalian genome to be deciphered, and three-way comparisons with the human and mouse genomes resolve details of mammalian evolution.
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A Systematic Survey of Loss-of-Function Variants in Human Protein-Coding Genes

TL;DR: Functional and evolutionary differences between LoF-tolerant and recessive disease genes and a method for using these differences to prioritize candidate genes found in clinical sequencing studies are described.
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Mapping copy number variation by population-scale genome sequencing

Ryan E. Mills, +374 more
- 03 Feb 2011 - 
TL;DR: A map of unbalanced SVs is constructed based on whole genome DNA sequencing data from 185 human genomes, integrating evidence from complementary SV discovery approaches with extensive experimental validations, and serves as a resource for sequencing-based association studies.