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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RNA-Seq: a revolutionary tool for transcriptomics
TL;DR: The RNA-Seq approach to transcriptome profiling that uses deep-sequencing technologies provides a far more precise measurement of levels of transcripts and their isoforms than other methods.
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The Transcriptional Landscape of the Yeast Genome Defined by RNA Sequencing
Ugrappa Nagalakshmi,Zhong Wang,Karl Waern,C. Shou,Debasish Raha,Mark Gerstein,Michael Snyder +6 more
TL;DR: A quantitative sequencing-based method is developed for mapping transcribed regions, in which complementary DNA fragments are subjected to high-throughput sequencing and mapped to the genome, and it is demonstrated that most (74.5%) of the nonrepetitive sequence of the yeast genome is transcribed.
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MetaBAT, an efficient tool for accurately reconstructing single genomes from complex microbial communities
TL;DR: MetaBAT as mentioned in this paper integrates empirical probabilistic distances of genome abundance and tetranucleotide frequency for accurate metagenome binning, and automatically forms hundreds of high quality genome bins on a very large assembly consisting millions of contigs.
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MetaBAT 2: an adaptive binning algorithm for robust and efficient genome reconstruction from metagenome assemblies.
Dongwan D. Kang,Feng Li,Edward Kirton,Ashleigh Thomas,Rob Egan,Hong An,Zhong Wang,Zhong Wang,Zhong Wang +8 more
TL;DR: Comparing MetaBAT 2 to alternative software tools on over 100 real world metagenome assemblies shows superior accuracy and computing speed, and recommends the community adopts Meta BAT 2 for their meetagenome binning experiments.
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Next-generation transcriptome assembly
Jeffrey Martin,Zhong Wang +1 more
TL;DR: This Review summarizes the recent developments in transcriptome assembly approaches — reference-based, de novo and combined strategies — along with some perspectives on transcriptomeAssembly in the near future.