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Melanie Weilert

Showing results (1-10 of 9) with videos related to

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Biorxiv : the Preprint Server for Biology|January 7, 2026
High-resolution binding data of TFIID and cofactors show promoter-specific differences <i>in vivo</i>Sergio G-M Alcantara, Simon Bourdareau, Melanie Weilert, et al.
Research Square|February 6, 2026
High-resolution binding data of TFIID and cofactors show promoter-specific differences in vivoJulia Zeitlinger, Sergio García-Moreno Alcántara, Simon Bourdareau, et al.
Cell Genomics|April 2, 2025
Interpreting regulatory mechanisms of Hippo signaling through a deep learning sequence modelKhyati Dalal, Charles McAnany, Melanie Weilert, et al.
Biorxiv : the Preprint Server for Biology|December 3, 2025
Widespread low-affinity motifs enhance chromatin accessibility and regulatory potential in mESCsMelanie Weilert, Kaelan J Brennan, Khyati Dalal, et al.
Nature Communications|July 4, 2026
Positional interpretation of cis-regulatory code and nucleosome organization with deep learning modelsCharles E McAnany, Melanie Weilert, Grishma Mehta, et al.
Nature Genetics|February 19, 2021
Base-resolution models of transcription-factor binding reveal soft motif syntaxŽiga Avsec, Melanie Weilert, Avanti Shrikumar, et al.
Biorxiv : the Preprint Server for Biology|May 22, 2023
<i>De novo</i> distillation of thermodynamic affinity from deep learning regulatory sequence models of <i>in vivo</i> protein-DNA bindingAmr M Alexandari, Connor A Horton, Avanti Shrikumar, et al.
Developmental Cell|August 9, 2023
Chromatin accessibility in the Drosophila embryo is determined by transcription factor pioneering and enhancer activationKaelan J Brennan, Melanie Weilert, Sabrina Krueger, et al.
Stem Cell Reports|October 20, 2023
The multi-lineage transcription factor ISL1 controls cardiomyocyte cell fate through interaction with NKX2.5Bonnie E J Maven, Casey A Gifford, Melanie Weilert, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Biorxiv : the Preprint Server for Biology|January 7, 2026
High-resolution binding data of TFIID and cofactors show promoter-specific differences <i>in vivo</i>Sergio G-M Alcantara, Simon Bourdareau, Melanie Weilert, et al.
Research Square|February 6, 2026
High-resolution binding data of TFIID and cofactors show promoter-specific differences in vivoJulia Zeitlinger, Sergio García-Moreno Alcántara, Simon Bourdareau, et al.
Cell Genomics|April 2, 2025
Interpreting regulatory mechanisms of Hippo signaling through a deep learning sequence modelKhyati Dalal, Charles McAnany, Melanie Weilert, et al.
Biorxiv : the Preprint Server for Biology|December 3, 2025
Widespread low-affinity motifs enhance chromatin accessibility and regulatory potential in mESCsMelanie Weilert, Kaelan J Brennan, Khyati Dalal, et al.
Nature Communications|July 4, 2026
Positional interpretation of cis-regulatory code and nucleosome organization with deep learning modelsCharles E McAnany, Melanie Weilert, Grishma Mehta, et al.
Nature Genetics|February 19, 2021
Base-resolution models of transcription-factor binding reveal soft motif syntaxŽiga Avsec, Melanie Weilert, Avanti Shrikumar, et al.
Biorxiv : the Preprint Server for Biology|May 22, 2023
<i>De novo</i> distillation of thermodynamic affinity from deep learning regulatory sequence models of <i>in vivo</i> protein-DNA bindingAmr M Alexandari, Connor A Horton, Avanti Shrikumar, et al.
Developmental Cell|August 9, 2023
Chromatin accessibility in the Drosophila embryo is determined by transcription factor pioneering and enhancer activationKaelan J Brennan, Melanie Weilert, Sabrina Krueger, et al.
Stem Cell Reports|October 20, 2023
The multi-lineage transcription factor ISL1 controls cardiomyocyte cell fate through interaction with NKX2.5Bonnie E J Maven, Casey A Gifford, Melanie Weilert, et al.
Pageof 1