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CTCF binding, nucleosome positioning and 3D chromatin organization with Dr Christopher Clarkson
Manage episode 286454167 series 2859702
In today's episode, we are excited to be talking to Dr Christopher Clarkson, currently based at UCL, where he has just started a post-doctoral research position.
In 2020, Dr. Clarkson completed his PhD at the University of Essex where he investigated changes of nucleosome positioning and 3D chromatin organization! In today's episode, we discuss how CTCF binding strength correlates with nucleosome repeat length and what the implications are of this on gene regulation. We further discuss how regions in the genome where CTCF is able to bind are extremely important for cellular differentiation and boundary formation within the genome.
Email: c.clarkson@ucl.ac.uk
Chris' Nucleic Acid Research article: CTCF-dependent chromatin boundaries formed by asymmetric nucleosome arrays with decreased linker length
Twitter: find Chris on twitter here.
Check out Biobox Analytics here, the ideal platform for working with NGS data, running and designing bioinformatic pipelines and generating the perfect plots: https://biobox.io/
34 قسمت
Manage episode 286454167 series 2859702
In today's episode, we are excited to be talking to Dr Christopher Clarkson, currently based at UCL, where he has just started a post-doctoral research position.
In 2020, Dr. Clarkson completed his PhD at the University of Essex where he investigated changes of nucleosome positioning and 3D chromatin organization! In today's episode, we discuss how CTCF binding strength correlates with nucleosome repeat length and what the implications are of this on gene regulation. We further discuss how regions in the genome where CTCF is able to bind are extremely important for cellular differentiation and boundary formation within the genome.
Email: c.clarkson@ucl.ac.uk
Chris' Nucleic Acid Research article: CTCF-dependent chromatin boundaries formed by asymmetric nucleosome arrays with decreased linker length
Twitter: find Chris on twitter here.
Check out Biobox Analytics here, the ideal platform for working with NGS data, running and designing bioinformatic pipelines and generating the perfect plots: https://biobox.io/
34 قسمت
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