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...
Guardado en:
Autores principales: | Zhongyou Li, Katja Koeppen, Victoria I. Holden, Samuel L. Neff, Liviu Cengher, Elora G. Demers, Dallas L. Mould, Bruce A. Stanton, Thomas H. Hampton |
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Formato: | article |
Lenguaje: | EN |
Publicado: |
American Society for Microbiology
2021
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Materias: | |
Acceso en línea: | https://doaj.org/article/09e70e6b96ff4bbf910d56d8c91f3121 |
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