Detalhe da pesquisa
1.
A multi-scale expression and regulation knowledge base for Escherichia coli.
Nucleic Acids Res
; 51(19): 10176-10193, 2023 10 27.
Artigo
em Inglês
| MEDLINE | ID: mdl-37713610
2.
Machine learning from Pseudomonas aeruginosa transcriptomes identifies independently modulated sets of genes associated with known transcriptional regulators.
Nucleic Acids Res
; 50(7): 3658-3672, 2022 04 22.
Artigo
em Inglês
| MEDLINE | ID: mdl-35357493
3.
Advanced transcriptomic analysis reveals the role of efflux pumps and media composition in antibiotic responses of Pseudomonas aeruginosa.
Nucleic Acids Res
; 50(17): 9675-9688, 2022 09 23.
Artigo
em Inglês
| MEDLINE | ID: mdl-36095122
4.
proChIPdb: a chromatin immunoprecipitation database for prokaryotic organisms.
Nucleic Acids Res
; 50(D1): D1077-D1084, 2022 01 07.
Artigo
em Inglês
| MEDLINE | ID: mdl-34791440
5.
iModulonDB: a knowledgebase of microbial transcriptional regulation derived from machine learning.
Nucleic Acids Res
; 49(D1): D112-D120, 2021 01 08.
Artigo
em Inglês
| MEDLINE | ID: mdl-33045728
6.
Machine-learning from Pseudomonas putida KT2440 transcriptomes reveals its transcriptional regulatory network.
Metab Eng
; 72: 297-310, 2022 07.
Artigo
em Inglês
| MEDLINE | ID: mdl-35489688
7.
Machine learning analysis of RB-TnSeq fitness data predicts functional gene modules in Pseudomonas putida KT2440.
mSystems
; 9(3): e0094223, 2024 Mar 19.
Artigo
em Inglês
| MEDLINE | ID: mdl-38323821
8.
Independent component analysis reveals 49 independently modulated gene sets within the global transcriptional regulatory architecture of multidrug-resistant Acinetobacter baumannii.
mSystems
; 9(2): e0060623, 2024 Feb 20.
Artigo
em Inglês
| MEDLINE | ID: mdl-38189271
9.
Systems biology of competency in Vibrio natriegens is revealed by applying novel data analytics to the transcriptome.
Cell Rep
; 42(6): 112619, 2023 06 27.
Artigo
em Inglês
| MEDLINE | ID: mdl-37285268
10.
High-resolution temporal profiling of E. coli transcriptional response.
Nat Commun
; 14(1): 7606, 2023 Nov 22.
Artigo
em Inglês
| MEDLINE | ID: mdl-37993418
11.
The hallmarks of a tradeoff in transcriptomes that balances stress and growth functions.
Res Sq
; 2023 Apr 12.
Artigo
em Inglês
| MEDLINE | ID: mdl-37090546
12.
Machine learning uncovers the Pseudomonas syringae transcriptome in microbial communities and during infection.
mSystems
; 8(5): e0043723, 2023 Oct 26.
Artigo
em Inglês
| MEDLINE | ID: mdl-37638727
13.
Proteome allocation is linked to transcriptional regulation through a modularized transcriptome.
bioRxiv
; 2023 Feb 21.
Artigo
em Inglês
| MEDLINE | ID: mdl-36865326
14.
Elucidation of independently modulated genes in Streptococcus pyogenes reveals carbon sources that control its expression of hemolytic toxins.
mSystems
; 8(3): e0024723, 2023 Jun 29.
Artigo
em Inglês
| MEDLINE | ID: mdl-37278526
15.
Laboratory evolution, transcriptomics, and modeling reveal mechanisms of paraquat tolerance.
Cell Rep
; 42(9): 113105, 2023 09 26.
Artigo
em Inglês
| MEDLINE | ID: mdl-37713311
16.
Predicting stress response and improved protein overproduction in Bacillus subtilis.
NPJ Syst Biol Appl
; 8(1): 50, 2022 12 27.
Artigo
em Inglês
| MEDLINE | ID: mdl-36575180
17.
Pan-Genome Analysis of Transcriptional Regulation in Six Salmonella enterica Serovar Typhimurium Strains Reveals Their Different Regulatory Structures.
mSystems
; 7(6): e0046722, 2022 12 20.
Artigo
em Inglês
| MEDLINE | ID: mdl-36317888
18.
Machine Learning of All Mycobacterium tuberculosis H37Rv RNA-seq Data Reveals a Structured Interplay between Metabolism, Stress Response, and Infection.
mSphere
; 7(2): e0003322, 2022 04 27.
Artigo
em Inglês
| MEDLINE | ID: mdl-35306876
19.
Machine Learning Uncovers a Data-Driven Transcriptional Regulatory Network for the Crenarchaeal Thermoacidophile Sulfolobus acidocaldarius.
Front Microbiol
; 12: 753521, 2021.
Artigo
em Inglês
| MEDLINE | ID: mdl-34777307
20.
Machine learning uncovers independently regulated modules in the Bacillus subtilis transcriptome.
Nat Commun
; 11(1): 6338, 2020 12 11.
Artigo
em Inglês
| MEDLINE | ID: mdl-33311500