(1/14) Excited to share our new preprint: ArChIPelago — classic ML on top of multiple PWMs improves genomic TFBS prediction. shorturl.at/jnxDA Builds on our MEX paper (Vorontsov et al., 2025). w/ @pensarata.bsky.social @vorontsovie.bsky.social @sevamakeev.bsky.social @halfacrocodile.bsky.social

(1/13) Excited to share the outcome of the IBIS Challenge! The IBIS challenge united dozens of teams across the world in tackling the problem of modeling transcription factor (TF) binding specificity using a diverse collection of experimental datasets for understudied human TFs.

Our paper on LARGE-scale benchmarking of motif discovery tools is published! nature.com/articles/s42... It was a long, 7 years long journey, which coordinated efforts of 50+ researchers, proud to be on of them. More results from Codebook about poorly studied TFs are coming soon.

Cross-platform motif discovery and benchmarking to explore binding specificities of poorly studied human transcription factors - Communications Biology

Cross-platform benchmarking of DNA binding specificity models highlights top-performing motif discovery methods and demonstrates the potential of advanced models to capture alternative binding modes o...

nature.com

Vanja@halfacrocodile.bsky.social · 2y ago

(1/12) Excited to present the results of the large-scale benchmarking of DNA motif discovery tools using the Codebook data compendium on poorly studied human transcription factors and the Codebook Motif Explorer: dx.doi.org/10.1101/2024..., mex.autosome.org ⬇️.

(1/12) Excited to present the results of the large-scale benchmarking of DNA motif discovery tools using the Codebook data compendium on poorly studied human transcription factors and the Codebook Motif Explorer: dx.doi.org/10.1101/2024..., mex.autosome.org ⬇️.