We are excited to release updated bacterial and fungal databases with > 15,000 new curated genomes, bringing our total to more than 170,000 microbial genomes and gene sequences representing bacteria, viruses, protists, and fungi, as well as antibiotic resistant and virulence associated genes. With thousands of new strains and species, we are now able to characterize complex microbiome communities with increased sensitivity and specificity. The Cosmos-Hub databases are organized phylogenetically and contain hundreds of millions of marker gene sequences. The markers represent both coding and non-coding sequences uniquely identified by taxon and/or distinct nodes of phylogenetic trees. This means that the tree structure was created based on genomic relatedness of organisms rather than predetermined taxonomy based on phenotype. This allows Cosmos-Hub to have a high degree of accuracy in identifying microorganisms based on their DNA in metagenomic samples. It also helps identify the closest match to genomes that do not have strain level references in the database (if, for example, they have never been sequenced before). What does this mean for you? Here are some frequently asked questions: 1. I have samples I ran previously on the app and I would like to rerun them on the new databases, how do I do that? Please submit a help ticket or contact us at help@cosmos-hub.com for more information 2. I have new samples to run, will I automatically get the new databases? Yes, when you upload new samples they will be analyzed using the new databases. 3. Will my results change with the new databases? If your samples are rerun on the new databases, it is possible that new species or strains will be identified in your samples that were not previously in the database and this may shift the abundance estimates for your previous results. The latest Cosmos-Hub database
15,000 new curated genomes, bringing our total to more than 170,000 microbial genomes and gene sequences representing bacteria, viruses, protists, and fungi, as well as antibiotic resistant and virulence associated genes. Enables characterization of complex and exotic microbiomes with increased sensitivity and better taxonomic abundance estimation