Jian Zhou
@zhou_jian
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Computational biology, machine learning, genomics. Assistant Professor at UT Southwestern. https://t.co/zOCzsCkx3R
Joined July 2009
Glad that our sequence model of promoters in human genome is now published in @ScienceMagazine. Check out the paper for a deep dive into the sequence basis of transcription initiation at the basepair level:
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RT @pkoo562: [SAVE THE DATE] MLCB 2025 is happening Sep 10-11 at the NY Genome Center—NYC! Attend the premier conference at the intersecti…
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RT @sokrypton: Exciting new work from Qian Cong's group on predicting human protein interactome. Leveraging new eukaryotic genomes, new Ros…
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RT @sara_mostafavi: MLCB2024 abstract/paper submission deadline is coming up (June 15). Also check out the list of…
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RT @NerdyChristie: Ph.D. candidate @KDudnyk47866 plays classical guitar almost every day—a practice that helps keep her mind limber, she sa…
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so proud that my student @KDudnyk47866 ‘s interview is featured in #sciencadvisor she is no doubt a #protostar !
I was happy to talk about the Puffin model and my career path in the recent interview for #ScienceAdviser. Check out the Protostar section!
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@Ella_Maru @vagar112 @ScienceMagazine Yes Puffin and Puffin-D can predict mutation effects by comparing predictions for sequences carrying each allele. Puffin is more focused on interpreting the effects (e.g what motif is affected and how it affects transcription). Puffin-D is more focused on prediction accuracy.
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@JianXuLab @KDudnyk47866 @ScienceMagazine Thanks Jian! It’s a privilege to work with you and really look forward to more discoveries together!
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RT @charlesdanko: Delighted to announce our latest, led by the awesome @missing_a_rib. See the thread below for a fantastic explanation: ht…
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RT @KDudnyk47866: Happy to share that our work on how small set of motifs and rules explain most human promoters is published in @ScienceMa…
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Check out @KDudnyk47866 's thread for more discoveries! We have since added new experimental validations, multi-tissue training, and more.
Excited to share our new work about the sequence basis of transcription initiation in human. We showed that simple rules can explain most human promoters, offering fresh insights into transcription initiation and gene regulation
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We can dissect the sequence contributions of each promoter at motif- and basepair- levels (check out . Motif contributions turned out to be highly associated with expression patterns of genes.
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In short, we can now explain most promoters with a simple sequence-based model with a small set of sequence patterns and rules! Each motif has a distinct position-dependent effect curve on transcription initiation that likely reflects the underlying mechanisms.
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