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Ron Schwessinger

Showing results (1-10 of 17) with videos related to

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Methods in Molecular Biology (Clifton, N.J.)|February 1, 2023
Predicting Chromatin Interactions from DNA Sequence Using DeepCRon Schwessinger
Genome Research|September 15, 2017
Sasquatch: predicting the impact of regulatory SNPs on transcription factor binding from cell- and tissue-specific DNase footprintsRon Schwessinger, Maria C Suciu, Simon J McGowan, et al.
Nature Methods|October 13, 2020
DeepC: predicting 3D genome folding using megabase-scale transfer learningRon Schwessinger, Matthew Gosden, Damien Downes, et al.
Molecular Cell|February 4, 2021
Enhancers predominantly regulate gene expression during differentiation via transcription initiationMartin S C Larke, Ron Schwessinger, Takayuki Nojima, et al.
Nature Communications|June 17, 2022
The chromatin remodeller ATRX facilitates diverse nuclear processes, in a stochastic manner, in both heterochromatin and euchromatinJulia Truch, Damien J Downes, Caroline Scott, et al.
Genome Medicine|November 13, 2025
Exploring the size limits of Bionano optical genome mapping to resolve alternative structures of linked interspersed chromosomal duplicationsYang Pei, Eduardo Calpena, Jill M Brown, et al.
Nature|June 10, 2021
Defining genome architecture at base-pair resolutionPeng Hua, Mohsin Badat, Lars L P Hanssen, et al.
Nature Communications|February 10, 2022
Dynamic Runx1 chromatin boundaries affect gene expression in hematopoietic developmentDominic D G Owens, Giorgio Anselmi, A Marieke Oudelaar, et al.
Nature Communications|April 19, 2023
Direct correction of haemoglobin E β-thalassaemia using base editorsMohsin Badat, Ayesha Ejaz, Peng Hua, et al.
Nature Genetics|October 31, 2018
Single-allele chromatin interactions identify regulatory hubs in dynamic compartmentalized domainsA Marieke Oudelaar, James O J Davies, Lars L P Hanssen, et al.
Pageof 2

Showing results (1-10 of 17) with videos related to

Sort By:
Pageof 2
Methods in Molecular Biology (Clifton, N.J.)|February 1, 2023
Predicting Chromatin Interactions from DNA Sequence Using DeepCRon Schwessinger
Genome Research|September 15, 2017
Sasquatch: predicting the impact of regulatory SNPs on transcription factor binding from cell- and tissue-specific DNase footprintsRon Schwessinger, Maria C Suciu, Simon J McGowan, et al.
Nature Methods|October 13, 2020
DeepC: predicting 3D genome folding using megabase-scale transfer learningRon Schwessinger, Matthew Gosden, Damien Downes, et al.
Molecular Cell|February 4, 2021
Enhancers predominantly regulate gene expression during differentiation via transcription initiationMartin S C Larke, Ron Schwessinger, Takayuki Nojima, et al.
Nature Communications|June 17, 2022
The chromatin remodeller ATRX facilitates diverse nuclear processes, in a stochastic manner, in both heterochromatin and euchromatinJulia Truch, Damien J Downes, Caroline Scott, et al.
Genome Medicine|November 13, 2025
Exploring the size limits of Bionano optical genome mapping to resolve alternative structures of linked interspersed chromosomal duplicationsYang Pei, Eduardo Calpena, Jill M Brown, et al.
Nature|June 10, 2021
Defining genome architecture at base-pair resolutionPeng Hua, Mohsin Badat, Lars L P Hanssen, et al.
Nature Communications|February 10, 2022
Dynamic Runx1 chromatin boundaries affect gene expression in hematopoietic developmentDominic D G Owens, Giorgio Anselmi, A Marieke Oudelaar, et al.
Nature Communications|April 19, 2023
Direct correction of haemoglobin E β-thalassaemia using base editorsMohsin Badat, Ayesha Ejaz, Peng Hua, et al.
Nature Genetics|October 31, 2018
Single-allele chromatin interactions identify regulatory hubs in dynamic compartmentalized domainsA Marieke Oudelaar, James O J Davies, Lars L P Hanssen, et al.
Pageof 2