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.
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Journal ArticleDOI
Methane yield phenotypes linked to differential gene expression in the sheep rumen microbiome
Weibing Shi,Christina D. Moon,Sinead C. Leahy,Dongwan D. Kang,Dongwan D. Kang,Jeff Froula,Jeff Froula,Sandra Kittelmann,Christina Fan,Christina Fan,Samuel Deutsch,Samuel Deutsch,Dragana Gagic,Henning Seedorf,William J. Kelly,Renee Atua,Carrie Sang,Priya Soni,Dong Li,C. S. Pinares-Patiño,John C. McEwan,Peter H. Janssen,Feng Chen,Feng Chen,Axel Visel,Zhong Wang,Zhong Wang,Zhong Wang,Graeme T. Attwood,Edward M. Rubin,Edward M. Rubin +30 more
TL;DR: A discrete set of rumen methanogens whose methanogenesis pathway transcription profiles correlate with methane yields are identified and provide new targets for CH4 mitigation at the levels of microbiota composition and transcriptional regulation.
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Nanos Maintains Germline Stem Cell Self-Renewal by Preventing Differentiation
Zhong Wang,Haifan Lin +1 more
TL;DR: It is shown that removing the translational repressor Nanos from either GSCs or their precursors, the primordial germ cells (PGCs), causes both cell types to differentiate into germline cysts.
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Comprehensive annotation of the transcriptome of the human fungal pathogen Candida albicans using RNA-seq
Vincent M. Bruno,Zhong Wang,Sadie L. Marjani,Ghia Euskirchen,Jeffrey Martin,Gavin Sherlock,Michael Snyder +6 more
TL;DR: This comprehensive transcriptome analysis significantly enhances the current genome annotation of C. albicans, a necessary framework for a complete understanding of the molecular mechanisms of pathogenesis for this important eukaryotic pathogen.
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Validation of two ribosomal RNA removal methods for microbial metatranscriptomics
Shaomei He,Shaomei He,Omri Wurtzel,Kanwar Singh,Jeff Froula,Suzan Yilmaz,Susannah G. Tringe,Zhong Wang,Feng Chen,Erika Lindquist,Rotem Sorek,Philip Hugenholtz,Philip Hugenholtz,Philip Hugenholtz +13 more
TL;DR: In this paper, the effectiveness and fidelity of the two most commonly used approaches, subtractive hybridization and exonuclease digestion, as well as combinations of these treatments, were evaluated on two synthetic five-microorganism metatranscriptomes using massively parallel sequencing.
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Rnnotator: an automated de novo transcriptome assembly pipeline from stranded RNA-Seq reads.
Jeffrey Martin,Jeffrey Martin,Vincent M. Bruno,Zhide Fang,Xiandong Meng,Xiandong Meng,Matthew J. Blow,Matthew J. Blow,Tao Zhang,Tao Zhang,Gavin Sherlock,Michael Snyder,Zhong Wang,Zhong Wang +13 more
TL;DR: Rnnotator as mentioned in this paper is an automated software pipeline that generates transcript models by de novo assembly of RNA-Seq data without the need for a reference genome, and it has been applied to two yeast transcriptomes and compared the results to the reference gene catalogs.