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minja
337 posts

minja
@minjaf
Group Leader, PI. Interested in developmental genetics, chromatin architecture, genome regulation, and computational biology
Katılım Kasım 2009
79 Takip Edilen198 Takipçiler

Currently, we have only preliminary benchmarks on @instadeepai NT bench & our own gene finding bench (iclr.cc/virtual/2026/1…). Looking forward to more thorough benchmarking from the community! @volokuleshov @anshulkundaje @exnx @pkoo562
@BiologyAIDaily
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In our paper (biorxiv.org/content/10.648…) we study how modern Transformer improvements transfer to genomics. We show that the ModernBERT-based architecture behind ModernGENA achieves the high throughput while maintaining competitive performance.
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We will present our new DNA Language model, ModernGENA (huggingface.co/collections/AI…), at #ICLR workshops on Monday, April 27!
Our posters will be presented at #ICLR workshops on Monday, April 27:
FM4Science 4:00 PM
MLGenX 3:40 PM
Gen2 4:10 PM
We welcome discussions on DNA LMs!

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I think it aligns well with what @dekker_lab @golobor , and others showed before for other cell types - but in LBC, hypertranscription results in an extreme, amplified version of these general principles
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1/
Our paper just came out in Nucleic Acids Research! 🎉
We study one of the most fascinating chromatin systems — lampbrush chromosomes (LBCs) in chicken oocytes.
🔗 academic.oup.com/nar/article/54…

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Our tool Charm is out in @NAR_Open Genomics & Bioinformatics!
Simulate Hi-C data for CNV, inversions, translocations & complex SV.
academic.oup.com/nargab/article…
💻 github.com/genomech/charm
#HiC #Genomics #SV #Bioinformatics #CharmTool
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For wet-lab scientists, our user-friendly web service lets you analyze DNA sequences using specialized instruments based on GENA-LMs with just a click at dnalm.airi.net
No bioinformatics skills are required!
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Interested in trying GENA? If you're an ML expert or bioinformatician, start with our GitHub (github.com/AIRI-Institute…) or HuggingFace (huggingface.co/collections/AI…) repos.
minja@minjaf
GENA-LMs is not a single model - it's a collection of models, including taxon-specific pretrainings, optimized for human, fly, yeast, or Arabidopsis. These specialized models enhance performance in species-specific genomic tasks. 7/n
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More on long context: GENA's recurrent memory extends context to >100kb. This technique breaks the existing trade-off between model size and input lengths, allowing the application of large models on long inputs. More details in our ICM workshop paper: openreview.net/forum?id=K671l… 6/n

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Our DNA Language Model 🧬GENA🧬 is now published in @NAR_Oxford! Read the paper (academic.oup.com/nar/article/53…) & access examples on GitHub (github.com/AIRI-Institute…) or HuggingFace (huggingface.co/collections/AI…). Thread below 🧵1/n

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