Shoutout to @georginajoyce.bsky.social for creating the amazing Bin Chicken logo!
www.georginajoyce.com
And thanks to everyone at @cmrqut.bsky.social for your support and @emerge-bii.bsky.social for funding this research!

In summary, Bin Chicken substantially increases recovered genomes through predicting samples for coassembly and for co-binning, can target your favourite bug, and you only need your metagenomes to get started.
Visit github.com/aroneys/binchicken to try it for yourself! 5/

¾ of these genomes were rare (<1% abundance in all samples), so we dubbed them the “Rare Biosphere Genomes”. Available for download! 4/

We used Bin Chicken to screen public 🌍 metagenomes, choosing the best 800 sample-sets for coassembly, and recovered 24,028 novel species 🦠 of Bacteria and Archaea, including the first representatives of 6 phyla and 41 classes. 3/

Bin Chicken compares marker gene sequences across metagenomic reads to group samples into coassemblies 🧬🧬 predicted to recover novel genomes 🦠. It can recover rare lineages that can’t be recovered from single-samples and target recovery of particular lineages of interest. 2/

Another key challenge in virome research is that most viruses lack taxonomic classification, leading to ad hoc approaches that hinder cross-study comparisons. To address this, we developed a taxonomy-like framework and a tool for assigning user's genomes to UHGV clusters. (4/8)

To facilitate adoption by the community, we provide online tools to allow users to explore UHGV in the browser. If you don't mind using the command line, we also provide all of the data for download :)
🌐 uhgv.jgi.doe.gov (8/8)