SAPPHIRE: a neural network based classifier for σ70 promoter prediction in Pseudomonas

DeePromoter: Robust Promoter Predictor Using Deep Learning

(2019) Mhaned Oubounyt et al.   Frontiers in Genetics

Antibiotic resistance in Pseudomonas aeruginosa: mechanisms and alternative therapeutic strategies

(2018) Zheng Pang et al.   BIOTECHNOLOGY ADVANCES

Recognition of prokaryotic and eukaryotic promoters using convolutional deep learning neural networks

(2017) Ramzan Kh. Umarov et al.   PLoS One

From dirt to industrial applications: Pseudomonas putida as a Synthetic Biology chassis for hosting harsh biochemical reactions

(2016) Pablo I Nikel et al.   CURRENT OPINION IN CHEMICAL BIOLOGY

Pseudomonas putida—a versatile host for the production of natural products

(2015) Anita Loeschcke et al.   APPLIED MICROBIOLOGY AND BIOTECHNOLOGY

Enhanced annotations and features for comparing thousands ofPseudomonasgenomes in the Pseudomonas genome database

(2015) Geoffrey L. Winsor et al.   NUCLEIC ACIDS RESEARCH

A Multifaceted Study of Pseudomonas aeruginosa Shutdown by Virulent Podovirus LUZ19

(2013) R. Lavigne et al.   mBio

Relative stability of DNA as a generic criterion for promoter prediction: whole genome annotation of microbial genomes with varying nucleotide base composition

(2009) Vetriselvi Rangannan et al.   Molecular BioSystems