The One Codex Blog

The One Codex Database is the most complete, all-in-one microbial genomics database available, and is now more comprehensive than ever! We’re very excited to announce that we’ve just released the latest update to our One Codex Database for shotgun metagenomics, now containing over 40% more curated genomes with 114,505 in total.

What does this mean for you? Your shotgun microbiome analyses are now more accurate than ever, and one analysis provides a complete picture of all of the bacteria, viruses, and fungi in your samples. The One Codex Database lets you quickly and easily characterize everything in your shotgun sequencing data in minutes instead of days.

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. The Academic Partner program is a grant of up to 200 free samples of analysis on the easy-to-use One Codex platform. Anybody doing academic research who is generating next generation sequencing data from microorganisms should feel free to apply.