Phil Hugenholtz

@xrefugee13.bsky.social

Microbiologist

It's out! Excited to present the Great Barrier Reef Microbial Genomes Database (GBR-MGD), a comprehensive DB of 1000s of high-quality prokaryote, virus, plasmid, and chromosome-level eukaryote MAGs using Nanopore long reads. Subthreads incoming. Please share widely. 🙂 www.nature.com/articles/s41...

The planktonic microbiome of the Great Barrier Reef - Nature

The Great Barrier Reef Microbial Genomes Database compiles prokaryotic, viral and eukaryotic genomes from seawater collected from the Great Barrier Reef, providing a rich resource for the study of mar...

nature.com

Ancestral genome reconstructions get noisier the deeper in time you go. The usual response: distrust them and joke about reading entrails. Ours is to train on the noise! The result is calibrated phenotype prediction back to the LBCA deep in the Archaean. New preprint www.biorxiv.org/content/10.6...

Models trained with noisy genomes extend bacterial phenotype prediction into deep time

Predicting phenotype from genotype in extant organisms is increasingly tractable through the accumulation of genome sequences and the development of machine-learning algorithms. Here we show that mach...

biorxiv.org

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I'm hiring a #postdoc!! 🥳 Official ad is making its way through HR but If you have interests in statistical methodology OR microbial bioinformatics, please reach out via my UW email. I'll share the description with you when it's available. 🔥😻