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Updated: May 6, 2026

High-Throughput Transcriptome Analysis for Investigating Host-Pathogen Interactions
Published on: March 5, 2022
HoPaCI-DB: host-Pseudomonas and Coxiella interaction database
Sophie Bleves1, Irmtraud Dunger, Mathias C Walter
1CNRS/Aix-Marseille University, Laboratoire d'Ingénierie des Systèmes Macromoléculaires (UMR7255), Institut de Microbiologie de la Méditerranée (IMM), 31 Chemin Joseph Aiguier, 13402 Marseille cedex 20, France, Institute for Bioinformatics and Systems Biology (MIPS), Helmholtz Zentrum München - German Research Center for Environmental Health (GmbH), Ingolstädter Landstr. 1, D-85764 Neuherberg, Germany, Department of Genome-Oriented Bioinformatics, Center of Life and Food Science Weihenstephan, Technische Universität München, Freising, Germany and Bundeswehr Institute of Microbiology, Neuherbergstrasse 11, 80937 Munich, Germany.
Abstract:
Bacterial infectious diseases are the result of multifactorial processes affected by the interplay between virulence factors and host targets. The host-Pseudomonas and Coxiella interaction database (HoPaCI-DB) is a publicly available manually curated integrative database (http://mips.helmholtz-muenchen.de/HoPaCI/) of host-pathogen interaction data from Pseudomonas aeruginosa and Coxiella burnetii. The resource provides structured information on 3585 experimentally validated interactions between molecules, bioprocesses and cellular structures extracted from the scientific literature. Systematic annotation and interactive graphical representation of disease networks make HoPaCI-DB a versatile knowledge base for biologists and network biology approaches.
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