The One Codex Blog

ATCC Genome Portal Update: Gold Genomes, Tags, and Contig Information

The One Codex and ATCC teams have been hard at work improving the ATCC Genome Portal. Since launching 6 months ago, we’ve more than doubled the number of genomes on the portal (adding more than 300 new genomes on top of our original 250) and created new features to help you navigate our collection of high-quality reference genomes. In this post, we’ll show you our new Gold genomes, help you browse the collection by tag, and show you how to access more granular contig details for each of our genomes.

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A closed genome a day...

The new ATCC Genome Portal offers high-quality, authenticated genomes and annotations for many of the top items in ATCC’s catalog. Today, the portal includes over 365 closed, fully circularized bacterial genomes from ATCC’s collection. That’s 1 genome sequenced and closed per day in 2019! And we’re continuing to generate more data every month.

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Making it easier than ever to analyze your microbiome data

We’re always working hard to make it as easy as possible to get the quality results from your microbiome data. Today we’re rolling out a brand new feature called Smart Detection. We’ve traditionally run our standard One Codex Database analysis on all samples that have been uploaded. Sometimes, though, that just isn’t the best analysis to run. If you have amplicon data or Ion Ampliseq™ data for example, it makes more sense to run our Targeted Loci analysis or our new Ion Ampliseq™ AMR panel.

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Growing to more than 100K curated genomes

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.

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