8.3% Bacteriodes fragilis
8.3% Bacteroides vulgatus
8.3% Bifidobacterium adolescentis
8.3% Clostridioides difficile
8.3% Enterococcus faecalis
8.3% Lactobacillus plantarum
8.3% Enterobacter cloacae
8.3% Escherichia coli
8.3% Helicobacter pylori
8.3% Salmonella enterica
8.3% Yersinia enterocolitica
8.3% Fusobacterium nucleatum
ATCC® Microbiome Standards enable the
optimization of metagenomics workflows and microbiome research
applications, providing reliable comparative data while
improving assay consistency.
This product is ideal for studies on the gut microbiome, research on the effects of dysbiosis on human health, assay development, and as a daily run control for molecular diagnostics and microbiome applications.
Biosafety classification is based on U.S. Public Health Service Guidelines, it is the responsibility of the customer to ensure that their facilities comply with biosafety regulations for their own country.
ATCC® Microbiome Standards are mock
microbial communities that mimic mixed metagenomic samples. This
product is prepared as an even mixture of whole cells and
fully sequenced, characterized, and authenticated
bacterial species observed in normal and atypical gut microbial
order for this product is provided with access to run 10
analyses on One Codex, the leading bioinformatics platform for
microbial genomics and metagenomics.
Specification Range: 2.4x108 cells/vial ±
*Whole cell concentrations indicate ATCC manufacturing
specifications and are provided as a reference only
Purchase of this product will include limited use access to the One Codex platform for metagenomic analysis of ATCC microbiome products. By purchasing this product, you consent and agree to allow ATCC to securely transfer sales and end users’ data related to this product to One Codex. Provision of One Codex access, storage, management of sequencing data, and the interpretation and accuracy of analytical results provided by One Codex are the responsibility of One Codex and not ATCC. End users should visit onecodex.com for their complementary metagenomic data analysis.