Build a single source of truth for your microbial assets with the brand new Genome Library. Learn more →
We’ve made major updates to our library for fetching, analyzing, and visualizing your One Codex data in a Jupyter notebook. In this post we walk you through a handful of real-world examples of what you can do with these powerful new tools.
Announcing SMS-seq: The world’s first protocol for ultra-portable microbial sequencing data analysis and taxonomic identification.
We heard you! One Codex’s most-requested feature is here. You can now upload your paired-end sequencing data straight from your web browser, and get started with your microbiome analysis faster than ever.
Microbiome research is advancing at an incredibly rapid and exciting pace. At One Codex, we’ve had the amazing opportunity to have front-row seats to this innovation, and we’ve always done our best to work with and support the academic community. One of the big hurdles to microbiome research however, is the cost and difficulty associated with analysis of next generation sequencing data. Today, we’re very pleased to announce the Academic Partner program, which is designed to further our commitment to this community by providing partnership opportunities to researchers studying microbial genomics and the microbiome.
We’ve just released a new Report designed specifically for analyzing the data from the Ampliseq™ Antimicrobial Resistance Community Panel. Now, when you upload sequencing data for this panel generated on either the Illumina or Ion platform, One Codex will automatically detect and analyze the data for you. The output is a PDF report showing exactly which AMR markers appear to be present in your data, all laid out in an easily interpretable format.