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GAUGE-Annotated Microbial Transcriptomic Data Facilitate Parallel Mining and High-Throughput Reanalysis To Form Data-Driven Hypotheses

ABSTRACT The NCBI Gene Expression Omnibus (GEO) provides tools to query and download transcriptomic data. However, less than 4% of microbial experiments include the sample group annotations required to assess differential gene expression for high-throughput reanalysis, and data deposited after 2014...

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Principais autores: Zhongyou Li, Katja Koeppen, Victoria I. Holden, Samuel L. Neff, Liviu Cengher, Elora G. Demers, Dallas L. Mould, Bruce A. Stanton, Thomas H. Hampton
Format: Artigo
Sprog:Inglês
Udgivet: American Society for Microbiology 2021-04-01
Serier:mSystems
Fag:
Pseudomonas aeruginosa
biofilms
bioinformatics
gene expression
genomics
Online adgang:https://journals.asm.org/doi/10.1128/mSystems.01305-20
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