Ares Publications

Scientific Publications and Application Notes

Optimizing plasmid identification for clinical bacterial Isolates using Next-Generation Sequencing

Joint publication with Prof. Keller’s group at Saarland University assessing the heterogeneity of in silico plasmid predictions based on whole-genome-sequenced clinical isolates. The study identified a high degree of heterogeneity and variation in sensitivity and precision for plasmid identification across taxa and computational approaches. Nevertheless, existing open source tools are very valuable for investigating the plasmid-borne resistome. Building upon the peer-reviewed research findings, the proprietary ARES Technology allows for fast and optimized plasmid identification from whole-genome sequencing data.

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GEAR-base: The GEnetic Antibiotic Resistance & Susceptibility Database

Joint publication with Prof. Keller's Group Keller’s group at Saarland University introducing GEAR-base as a standardized research resource for antibiotic resistance genotypes and phenotypes. GEAR-base builds on Ares’ proprietary collection of pathogen genomes and resistance profiles and we invite you to join us to further advance antibiotic resistance research. Please sign up at https://gear-base.com or contact us at contact@ares-genetics.com and you will receive an invitation to join GEAR-base for academic research use upon publication of the accompanying manuscript (currently under review).

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Ares Genetics and Curetis Pharma Services

We offer a comprehensive portfolio of solutions for antimicrobial drug discovery, clinical development, and product lifecycle management. Our solutions aim at supporting data-driven target and lead prioritization, accelerating clinical trials, augmenting clinical data for regulatory submissions, and informed antimicrobial drug use for effective antibiotic stewardship post launch.

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Fast and accurate taxonomic Identification of clinical bacterial Isolates using Next-Generation Sequencing

Joint publication with Prof. Keller’s group at Saarland University comparing genome versus proteome-based identification of clinical bacterial isolates. Key findings include that taxonomic identification based on the proteome (by mass spectrometry, MS-biotyping) and the genome (by next-generation sequencing, NGS) show high concordance for clinical application. While NGS successfully resolved all clinical isolates on the species level, for 12% of the cases MS-biotyping resulted in genus level classification only. Building upon the peer-reviewed research findings, ARES Technology allows for fast and accurate taxonomic identification on the species level.

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