Acinetobase
Acinetobase provides a curated repository of genetic and phenotypic data for Acinetobacter strains, particularly Acinetobacter baumannii, to enable selection and comparative analysis of isolates.
Key Features:
- Extensive Data Collection: Curates genetic and phenotypic data across a wide array of Acinetobacter strains, capturing genomic diversity and associated traits.
- Phenotypic and Genetic Insights: Includes annotations of macrocolony morphologies, virulence in vitro and in vivo, natural competence levels, capsular polysaccharide structures, and cellular densities.
- Gene Presence/Absence Documentation: Records presence or absence of specific genes and physiological processes to link genotypes with phenotypes.
- Strain Selection Support: Links genotype and phenotype data to facilitate selection of isolates tailored to specific biological inquiries.
Scientific Applications:
- Experimental Design: Enables selection of isolates with defined genotypic or phenotypic characteristics for laboratory and in vivo studies.
- Comparative Genomics: Supports analyses of genomic heterogeneity and limited core genome across Acinetobacter strains.
- Antimicrobial Resistance and Stress Response Studies: Facilitates analysis of antimicrobial resistance, desiccation resistance, disinfectant tolerance, human serum resistance, and oxidative stress responses.
- Virulence and Morphology Research: Enables investigation of virulence determinants, macrocolony morphologies, natural competence, and capsular polysaccharide structure effects.
Methodology:
Documents and curates genetic and phenotypic measurements, including annotations of gene presence/absence and recorded phenotypic trait data.
Topics
Details
- License:
- GPL-3.0
- Cost:
- Free of charge
- Tool Type:
- web application
- Operating Systems:
- Mac, Linux, Windows
- Added:
- 1/25/2023
- Last Updated:
- 1/25/2023
Operations
Publications
Valcek A, Collier J, Botzki A, Van der Henst C. Acinetobase: the comprehensive database and repository of <i>Acinetobacter</i> strains. Database. 2022;2022. doi:10.1093/database/baac099. PMID:36412325. PMCID:PMC10103187.
PMID: 36412325