GAUGE-Annotated Microbial Transcriptomic Data Facilitate Parallel Mining and High-Throughput Reanalysis To Form Data-Driven Hypotheses
GAUGE 注释的微生物转录组数据有助于并行挖掘和高通量再分析,从而形成数据驱动的假设
期刊:mSystems
影响因子:5
doi:10.1128/mSystems.01305-20
Zhongyou Li, Katja Koeppen, Victoria I Holden, Samuel L Neff, Liviu Cengher, Elora G Demers, Dallas L Mould, Bruce A Stanton, Thomas H Hampton