日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

TEAL-Seq: targeted expression analysis sequencing.

TEAL-Seq:靶向表达分析测序

Doing Georgia, Shanbhag Priya, Bell Isaac, Cassidy Sara, Motakis Efthymios, Aiken Elizabeth, Oh Julia, Adams Mark D

E.PathDash, pathway activation analysis of publicly available pathogen gene expression data

E.PathDash,公开可用的病原体基因表达数据的通路激活分析

Taub, Lily; Hampton, Thomas H; Sarkar, Sharanya; Doing, Georgia; Neff, Samuel L; Finger, Carson E; Ferreira Fukutani, Kiyoshi; Stanton, Bruce A

Pseudomonas aeruginosa transcriptome analysis of metal restriction in ex vivo cystic fibrosis sputum

铜绿假单胞菌转录组分析体外囊性纤维化痰液中的金属限制

Neff, Samuel L; Doing, Georgia; Reiter, Taylor; Hampton, Thomas H; Greene, Casey S; Hogan, Deborah A

Compendium-Wide Analysis of Pseudomonas aeruginosa Core and Accessory Genes Reveals Transcriptional Patterns across Strains PAO1 and PA14

对铜绿假单胞菌核心基因和辅助基因的全面分析揭示了PAO1和PA14菌株的转录模式

Lee, Alexandra J; Doing, Georgia; Neff, Samuel L; Reiter, Taylor; Hogan, Deborah A; Greene, Casey S

SOPHIE: Generative Neural Networks Separate Common and Specific Transcriptional Responses

SOPHIE:生成式神经网络区分常见和特异性转录反应

Lee, Alexandra J; Mould, Dallas L; Crawford, Jake; Hu, Dongbo; Powers, Rani K; Doing, Georgia; Costello, James C; Hogan, Deborah A; Greene, Casey S

Using genome-wide expression compendia to study microorganisms

利用全基因组表达谱研究微生物

Lee, Alexandra J; Reiter, Taylor; Doing, Georgia; Oh, Julia; Hogan, Deborah A; Greene, Casey S

PathCORE-T: identifying and visualizing globally co-occurring pathways in large transcriptomic compendia

PathCORE-T:识别和可视化大型转录组数据集中的全局共现通路

Chen, Kathleen M; Tan, Jie; Way, Gregory P; Doing, Georgia; Hogan, Deborah A; Greene, Casey S

A Multimodal Strategy Used by a Large c-di-GMP Network

大型c-di-GMP网络采用的多模式策略

Dahlstrom, Kurt M; Collins, Alan J; Doing, Georgia; Taroni, Jaclyn N; Gauvin, Timothy J; Greene, Casey S; Hogan, Deborah A; O'Toole, George A