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Wei Zhang

Researcher at University of California, San Diego

Publications -  39
Citations -  2107

Wei Zhang is an academic researcher from University of California, San Diego. The author has contributed to research in topics: Medicine & Chemistry. The author has an hindex of 21, co-authored 32 publications receiving 1614 citations. Previous affiliations of Wei Zhang include Chinese Academy of Sciences & CAS-MPG Partner Institute for Computational Biology.

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Suboptimization of developmental enhancers

TL;DR: A high-throughput analysis of the Otx-a enhancer, which mediates expression in the neural plate of Ciona embryos in response to fibroblast growth factor (FGF) signaling and a localized GATA determinant, provides evidence that enhancer specificity depends on submaximal recognition motifs having reduced binding affinities (“suboptimization”).
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Advanced Applications of RNA Sequencing and Challenges

TL;DR: A detailed overview of the applications of this technology and the challenges that need to be addressed, including data preprocessing, differential gene expression analysis, alternative splicing analysis, variants detection and allele-specific expression, pathway analysis, co-expression network analysis, and applications combining various experimental procedures is presented in this article.
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Systematic Evaluation of Molecular Networks for Discovery of Disease Genes

TL;DR: This work evaluates 21 human genome-wide interaction networks for their ability to recover 446 disease gene sets identified through literature curation, gene expression profiling, or genome- wide association studies to create a parsimonious composite network with both high efficiency and performance.
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Syntax compensates for poor binding sites to encode tissue specificity of developmental enhancers.

TL;DR: It is shown that enhancer syntax (the order, orientation, and spacing of transcription factor binding sites) is important for tissue-specific gene expression, and enhancers with low-affinity binding sites can mediate robust tissue specific patterns of gene expression when they are organized with optimal syntax.