NCBI PubMed Central
open access
Integrating multi-omics data with network modeling to characterize Pseudomonas aeruginosa persister cell metabolism.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Multi-strain analysis of Pseudomonas putida reveals the metabolic and genetic diversity of the species#1119981
- Computational paradigms for antimicrobial resistance prediction: integrating multi-omics, structural modeling, and foundation artificial intelligence systems.#174517
- Global transcription factors analyses reveal hierarchy and synergism of regulatory networks and master virulence regulators in Pseudomonas aeruginosa.#25561
- Integrating multi-omics technologies to decipher microbiome functions#1134086
- Bridging the Omics Divide: A Modular Relational Approach to Multi-Layer Biological Data Management#1169664
Record · ID 472584
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive