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Excited to share our latest tool at #NGSB24, leveraging synthetic enhancers to learn what deep learning models get right & wrong about how the non-coding genome controls gene expression. Pre-print coming soon!

highly recommend!

It's finally out! Massive team effort by the Codebook Consortium to characterize binding specificities of poorly studied human TFs. Preprint below highlights results of the benchmarking (1/5 preprints). Glad I was able to contribute as part of @BartDeplancke lab, w @AntoniGralak

Check out this preprint from @AntoniGralak a very talented PhD in the @BartDeplancke lab, developing methyl-SMiLE-seq and applying it to study poorly characterized human TFs as part of the Codebook Consortium! 1/5 linked preprints across exp. platforms.

(1/8) Thrilled to reveal the results of the Codebook Project, an international effort to identify accurate DNA-binding motifs and genomic binding loci for the >300 uncharacterized human transcription factors (TFs) doi.org/10.1101/2024.1…

Enjoyed presenting at #NGSB24! Thanks to the entire OC for putting together a fantastic meeting! So many exciting new avenues for SynBio, from DNA synthesis, cell-free systems, designing regulatory systems, all the way to improving AI and exploring new applications!