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Your search keyword '"Jingzhi Zhu"' showing total 3 results
Start Over Author "Jingzhi Zhu" Topic genomics
3 results on '"Jingzhi Zhu"'

1. Viewing RNA-seq data on the entire human genome [version 1; referees: 3 approved]

Author

Eric M. Weitz, Lorena Pantano, Jingzhi Zhu, Bennett Upton, and Ben Busby

Subjects
Bioinformatics, Genomics, Medicine, Science
Abstract

RNA-Seq Viewer is a web application that enables users to visualize genome-wide expression data from NCBI’s Sequence Read Archive (SRA) and Gene Expression Omnibus (GEO) databases. The application prototype was created by a small team during a three-day hackathon facilitated by NCBI at Brandeis University. The backend data pipeline was developed and deployed on a shared AWS EC2 instance. Source code is available at https://github.com/NCBI-Hackathons/rnaseqview.

Published
2017
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2. Comparative Genomic Analysis of Pseudoxanthomonas sp. X-1, a Bromoxynil Octanoate-Degrading Bacterium, and Its Related Type Strains

Author

Zhepu Ruan, Weimiao Cao, Jingzhi Zhu, Bingang Yang, Jiandong Jiang, Chen Chen, and Xihui Xu

Subjects
Xanthomonadaceae, RNA, Ribosomal, 16S, Nitriles, General Medicine, Genomics, Applied Microbiology and Biotechnology, Microbiology, Phylogeny
Abstract

Most Pseudoxanthomonas species described have been derived from water, plants, or contaminated soils. Here, a strain Pseudoxanthomonas sp. X-1 isolated from bromoxynil octanoate (BO)-contaminated soil is presented. Strain X-1 could degrade BO and produce bromoxynil. The optimal conditions for degradation of BO by strain X-1 were an initial BO concentration of 0.1 mM, 30 °C, pH 7, and Mn

Published
2021

3. Viewing RNA-seq data on the entire human genome

Author

Bennett Upton, Ben Busby, Eric M. Weitz, Jingzhi Zhu, and Lorena Pantano

Subjects
0301 basic medicine, Source code, Bioinformatics, ideogram, Computer science, media_common.quotation_subject, javascript, RNA-Seq, Computational biology, JavaScript, General Biochemistry, Genetics and Molecular Biology, World Wide Web, 03 medical and health sciences, 0302 clinical medicine, Web application, General Pharmacology, Toxicology and Pharmaceutics, computer.programming_language, media_common, next generation sequencing, Gene expression omnibus, General Immunology and Microbiology, Software Tool Article, business.industry, Articles, Genomics, General Medicine, 030104 developmental biology, Expression data, Human genome, RNA-seq, business, computer, 030217 neurology & neurosurgery
Abstract

RNA-Seq Viewer is a web application that enables users to visualize genome-wide expression data from NCBI’s Sequence Read Archive (SRA) and Gene Expression Omnibus (GEO) databases. The application prototype was created by a small team during a three-day hackathon facilitated by NCBI at Brandeis University. The backend data pipeline was developed and deployed on a shared AWS EC2 instance. Source code is available at https://github.com/NCBI-Hackathons/rnaseqview.

Published
2017
Full Text
View/download PDF

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