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Tomas Bruna

@tomasbruna.bsky.social
208 followers 24 following 1 posts

Genome Data Scientist @ DOE Joint Genome Institute

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Reposted by Tomas Bruna
Katharina Hoff @katharinahoff.bsky.social · 29/04/2026
Post 1/2 Our new preprint is out! 🧬 We’ve extended #Tiberius for accurate ab initio gene prediction across the eukaryotic tree, including Plants, Fungi, Insects, and Diatoms. doi.org/10.64898/202...
doi.org
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Reposted by Tomas Bruna
Katharina Hoff @katharinahoff.bsky.social · 11/04/2026
BRAKER4 is about to hatch. It now also covers functional annotation for protein sequences... #genomeannotation
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John Lovell @jotlovell.bsky.social · 30/01/2026
This article is now published! academic.oup.com/nargab/artic... We’ve added a few new analyses. First off, we show that, while gene presence absence variation (PAV) scales with evolutionary distance in both plants and animals, the base level and rate of accrual are both twice as high in plants.
academic.oup.com
Evolutionary and methodological considerations when interpreting gene presence–absence variation in pangenomes
Abstract. While graph-based pangenomes have become a standard and interoperable foundation for comparisons across multiple reference genomes, integrating p
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Reposted by Tomas Bruna
Katharina Hoff @katharinahoff.bsky.social · 24/10/2025
With help of international colleagues at @jgi.doe.gov, @oregonstate.edu, and @stockholm-uni.bsky.social, we are relasing new parameters for Tiberius. Thx to Lars Gabriel, @tomasbruna.bsky.social, Samuel Talbot, @chriswheat.bsky.social, @masta.bsky.social - and many others. github.com/Gaius-August...
github.com
Release v1.1.7 · Gaius-Augustus/Tiberius
⚠️ New Models available: Diatoms Eudicotyledons Lepidoptera Monocotyledonae Mucoromycota Saccharomycota Sordariomycota Several bugfixes.
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Tomas Bruna @tomasbruna.bsky.social · 21/08/2025
Big thanks to @axelvisel.bsky.social for sharing! For full consideration, please apply by September 2.
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Reposted by Tomas Bruna
John Lovell @jotlovell.bsky.social · 18/08/2025
Determining presence-absence variation (PAV) across reference genomes is a major goal of pangenome analysis. It turns out that A LOT of gene PAV is due to methodological artifacts. We explore the causes of this in soybean and cotton datasets in our recent preprint: www.biorxiv.org/content/10.1...
pangenome 'expansion' curves for cotton and soybean
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