Microbial Standards Microbial Standards Improve the quality and reproducibility of microbiomics analyses with microbial standards from Zymo Research. Cellular DNA ZymoBIOMICS Microbial Community Standards Microbiomics The ZymoBIOMICS Microbial Community Standards are accurately characterized mock communities consisting of various bacteria and yeast used for microbiome/metagenome workflow optimization and as positive controls. CLICK HERE FOR MORE DETAILS ZymoBIOMICS Microbial Community Standards D6300 Assess bias and errors in NGS-based microbial composition profiling workflows CLICK HERE FOR MORE DETAILS ZymoBIOMICS Microbial Community Standard II (Log Distribution) D6310 Microbial standard with a log distribution used to assess the performance of microbiomics workflows. CLICK HERE FOR MORE DETAILS ZymoBIOMICS Spike-in Control I (High Microbial Load) D6320 Whole cell spike-in control to assess absolute cell number in microbiome samples. CLICK HERE FOR MORE DETAILS ZymoBIOMICS Spike-in Control II (Low Microbial Load) D6321, D6321-10 Whole cell spike-in control with log abundance distribution for limit detection and absolute cell quantification of microbial samples. CLICK HERE FOR MORE DETAILS ZymoBIOMICS Gut Microbiome Standard D6331 The ZymoBIOMICS Gut Microbiome Standard is a mixture of 18 bacterial strains, 2 fungal strains, and 1 archaeal strain in staggered abundances used for gut microbiome/metagenome workflow optimization and as a positive control. CLICK HERE FOR MORE DETAILS ZymoBIOMICS Microbial Community DNA Standard D6305, D6306 Assess bias and errors in NGS-based microbial composition profiling workflows CLICK HERE FOR MORE DETAILS ZymoBIOMICS Microbial Community DNA Standard II (Log Distribution) D6311 DNA standard with a log distribution used to assess the performance of microbiomics workflows. CLICK HERE FOR MORE DETAILS ZymoBIOMICS HMW DNA Standard D6322 The ZymoBIOMICS Microbial Community Standards are accurately characterized mock communities consisting of various bacteria and yeast used for microbiome/metagenome workflow optimization and as positive controls. CLICK HERE FOR MORE DETAILS