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

Machine learning reveals the transcriptional regulatory network and circadian dynamics of Synechococcus elongatus PCC 7942.

机器学习揭示了集胞藻 PCC 7942 的转录调控网络和昼夜节律动态

Yuan Yuan, Al Bulushi Tahani, Sastry Anand V, Sancar Cigdem, Szubin Richard, Golden Susan S, Palsson Bernhard O

Independent component analysis reveals 49 independently modulated gene sets within the global transcriptional regulatory architecture of multidrug-resistant Acinetobacter baumannii

独立成分分析揭示了多重耐药鲍曼不动杆菌全局转录调控结构中49个独立调控的基因集。

Menon, Nitasha D; Poudel, Saugat; Sastry, Anand V; Rychel, Kevin; Szubin, Richard; Dillon, Nicholas; Tsunemoto, Hannah; Hirose, Yujiro; Nair, Bipin G; Kumar, Geetha B; Palsson, Bernhard O; Nizet, Victor

iModulonMiner and PyModulon: Software for unsupervised mining of gene expression compendia

iModulonMiner 和 PyModulon:用于无监督基因表达谱挖掘的软件

Sastry, Anand V; Yuan, Yuan; Poudel, Saugat; Rychel, Kevin; Yoo, Reo; Lamoureux, Cameron R; Li, Gaoyuan; Burrows, Joshua T; Chauhan, Siddharth; Haiman, Zachary B; Al Bulushi, Tahani; Seif, Yara; Palsson, Bernhard O; Zielinski, Daniel C

Laboratory evolution, transcriptomics, and modeling reveal mechanisms of paraquat tolerance

实验室进化、转录组学和建模揭示了百草枯耐受机制

Rychel, Kevin; Tan, Justin; Patel, Arjun; Lamoureux, Cameron; Hefner, Ying; Szubin, Richard; Johnsen, Josefin; Mohamed, Elsayed Tharwat Tolba; Phaneuf, Patrick V; Anand, Amitesh; Olson, Connor A; Park, Joon Ho; Sastry, Anand V; Yang, Laurence; Feist, Adam M; Palsson, Bernhard O

Machine learning uncovers the Pseudomonas syringae transcriptome in microbial communities and during infection

机器学习揭示了微生物群落和感染过程中丁香假单胞菌的转录组

Bajpe, Heera; Rychel, Kevin; Lamoureux, Cameron R; Sastry, Anand V; Palsson, Bernhard O

Advanced transcriptomic analysis reveals the role of efflux pumps and media composition in antibiotic responses of Pseudomonas aeruginosa.

高级转录组分析揭示了外排泵和培养基成分在铜绿假单胞菌抗生素反应中的作用

Rajput Akanksha, Tsunemoto Hannah, Sastry Anand V, Szubin Richard, Rychel Kevin, Chauhan Siddharth M, Pogliano Joe, Palsson Bernhard O

Machine learning from Pseudomonas aeruginosa transcriptomes identifies independently modulated sets of genes associated with known transcriptional regulators.

利用铜绿假单胞菌转录组的机器学习方法,可以识别与已知转录调控因子相关的独立调控基因集

Rajput Akanksha, Tsunemoto Hannah, Sastry Anand V, Szubin Richard, Rychel Kevin, Sugie Joseph, Pogliano Joe, Palsson Bernhard O

Pan-Genome Analysis of Transcriptional Regulation in Six Salmonella enterica Serovar Typhimurium Strains Reveals Their Different Regulatory Structures

对六株鼠伤寒沙门氏菌血清型菌株转录调控的泛基因组分析揭示了它们不同的调控结构

Yuan, Yuan; Seif, Yara; Rychel, Kevin; Yoo, Reo; Chauhan, Siddharth; Poudel, Saugat; Al-Bulushi, Tahani; Palsson, Bernhard O; Sastry, Anand V

Mathematical models to study the biology of pathogens and the infectious diseases they cause

利用数学模型研究病原体的生物学特性及其引起的传染病

Xavier, Joao B; Monk, Jonathan M; Poudel, Saugat; Norsigian, Charles J; Sastry, Anand V; Liao, Chen; Bento, Jose; Suchard, Marc A; Arrieta-Ortiz, Mario L; Peterson, Eliza J R; Baliga, Nitin S; Stoeger, Thomas; Ruffin, Felicia; Richardson, Reese A K; Gao, Catherine A; Horvath, Thomas D; Haag, Anthony M; Wu, Qinglong; Savidge, Tor; Yeaman, Michael R

iModulonDB: a knowledgebase of microbial transcriptional regulation derived from machine learning

iModulonDB:一个基于机器学习的微生物转录调控知识库

Rychel, Kevin; Decker, Katherine; Sastry, Anand V; Phaneuf, Patrick V; Poudel, Saugat; Palsson, Bernhard O