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

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 universal...

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Detalles Bibliográficos
Autores principales: Li, Zhongyou, Koeppen, Katja, Holden, Victoria I., Neff, Samuel L., Cengher, Liviu, Demers, Elora G., Mould, Dallas L., Stanton, Bruce A., Hampton, Thomas H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Microbiology 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8547006/
https://www.ncbi.nlm.nih.gov/pubmed/33758032
http://dx.doi.org/10.1128/mSystems.01305-20

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8547006/
https://www.ncbi.nlm.nih.gov/pubmed/33758032
http://dx.doi.org/10.1128/mSystems.01305-20

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