Z
Zhong Wang
Researcher at Lawrence Berkeley National Laboratory
Publications - 68
Citations - 24509
Zhong Wang is an academic researcher from Lawrence Berkeley National Laboratory. The author has contributed to research in topics: Gene & Genome. The author has an hindex of 29, co-authored 61 publications receiving 21060 citations. Previous affiliations of Zhong Wang include Joint Genome Institute & Yale University.
Papers
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Journal ArticleDOI
Reconstructing single genomes from complex microbial communities
TL;DR: This review aims to compare several automated metagenome binning software tools for their performance, and provide a practical guide for the metagenomics research community to carry out successful binning analyses.
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Evidence for sequence biases associated with patterns of histone methylation
TL;DR: These findings provide evidence of an influence of genomic sequence on patterns of histone modification associated with gene expression and chromatin programming, and they suggest that the mechanisms responsible for global histone modifications may interpret genomic sequence in various ways.
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De novo Nanopore read quality improvement using deep learning.
TL;DR: MiniScrub is able to robustly improve read quality of Oxford Nanopore reads, especially in the metagenome setting, making it useful for downstream applications such as de novo assembly.
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Computational Strategies for Scalable Genomics Analysis.
Lizhen Shi,Zhong Wang +1 more
TL;DR: This review surveys some of these exciting developments in the applications of parallel distributed computing and special hardware to genomics in the context of ease of development, robustness, scalability, and efficiency.
MetaBAT: Metagenome Binning based on Abundance and Tetranucleotide frequence
TL;DR: In this paper, the authors developed a metagenome binning software, called MetaBAT, which integrates empirical probabilistic distances of genome abundance and tetranucleotide frequency to group large fragments assembled from shotgun metagenomic sequences.