Melanie Weilert

High-resolution binding data of TFIID and cofactors show promoter-specific differences

Sergio G-M Alcantara, Simon Bourdareau, Melanie Weilert, Julia Zeitlinger

This Zenodo repository contains all source data pertinent for the creation of figures in the work conducted in "High-resolution binding data of TFIID and cofactors show promoter-specific differences" from the Zeitlinger lab. Questions about this dataset can be referred to Melanie Weilert …

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High-resolution binding data of TFIID and cofactors show promoter-specific differences

Sergio G-M Alcantara, Simon Bourdareau, Melanie Weilert, Julia Zeitlinger

This Zenodo repository contains all source data pertinent for the creation of figures in the work conducted in "High-resolution binding data of TFIID and cofactors show promoter-specific differences" from the Zeitlinger lab. Questions about this dataset can be referred to Melanie Weilert …

us (code pays fourni par la source)

AlphaGenome Atlas: in silico mutagenesis of the entire human genome improves prioritization and interpretation of non-coding variants

Jun Cheng, Kyle R. Taylor, Lauren Nicolaisen, Joshua Pan et autres

A major challenge in genomics is deciphering the functional consequences of non-coding genetic variation. Here we present AlphaGenome Atlas, a comprehensive resource that enables the joint interpretation and prioritization of variant effects across the entire human genome. Using AlphaGenome, we predicted the …

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High-resolution binding data of TFIID and cofactors show promoter-specific differences

Sergio G-M Alcantara, Simon Bourdareau, Melanie Weilert, Julia Zeitlinger

This Zenodo repository contains all source data pertinent for the creation of figures in the work conducted in "High-resolution binding data of TFIID and cofactors show promoter-specific differences" from the Zeitlinger lab. Questions about this dataset can be referred to Melanie Weilert …

us (code pays fourni par la source)

Cooperativity enables widespread role of low-affinity motifs in chromatin accessibility and increases regulatory potential

Melanie Weilert, Kaelan J. Brennan, Khyati Dalal, Sabrina Krueger et autres

Low-affinity transcription-factor (TF) motifs are an important element of the cis-regulatory code, yet they are notoriously difficult to map and mechanistically incompletely understood, limiting our ability to interpret non-coding variation in development, evolution, and disease. Here, we investigate their role in pioneering …

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Positional interpretation of cis-regulatory code and nucleosome organization with deep learning models

Charles E. McAnany, Melanie Weilert, Grishma Mehta, Fahad Kamulegeya et autres

Sequence-to-function neural networks learn cis-regulatory sequence rules driving many types of genomic data. Interpreting these models to relate the sequence rules to underlying biological processes remains challenging, especially for complex genomic readouts such as MNase-seq, which maps nucleosome occupancy but is confounded …

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mmtrebuchet/bpreveal: Zenodo release

Charles McAnany, Patrick Moeller, Melanie Weilert

No changes to the code, this is just a new release to trigger the Zenodo archiving machinery.

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mmtrebuchet/bpreveal: Zenodo release

Charles McAnany, Patrick Moeller, Melanie Weilert

No changes to the code, this is just a new release to trigger the Zenodo archiving machinery.

us (code pays fourni par la source)

Positional Interpretation of Cis-Regulatory Code and Nucleosome Organization with Deep Learning Models: Data, models, and code

Charles McAnany, Julia Zeitlinger, Anshul Kundaje, Melanie Weilert et autres

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Positional Interpretation of Cis-Regulatory Code and Nucleosome Organization with Deep Learning Models: Data, models, and code

Charles McAnany, Julia Zeitlinger, Anshul Kundaje, Melanie Weilert et autres

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High-resolution binding data of TFIID and cofactors show promoter-specific differences in vivo

Julia Zeitlinger, Sergio G-M Alcantara, Simon Bourdareau, Melanie Weilert

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High-resolution binding data of TFIID and cofactors show promoter-specific differences in vivo

Sergio G-M Alcantara, Simon Bourdareau, Melanie Weilert, Julia Zeitlinger

TFIID is instrumental in recognizing promoter sequences and initiating transcription, yet a cohesive understanding of how this complex interacts with and functions at different promoter types in vivo is still lacking. Here, we employed ChIP-nexus to capture high-resolution binding footprints of all …

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