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Using random knot theory to analyze Chromosome Conformation Capture data
Mathematical BiologySpeaker: | Javier Arsuaga, UC Davis |
Location: | 2112 MSB |
Start time: | Mon, Jan 29 2018, 3:10PM |
Uncovering the basic principles that govern the three dimensional (3D) organization of genomes poses one of the main challenges in mathematical biology of the postgenomic era. Certain viruses and some organisms, such as trypanosomes, accommodate knotted or topologically linked genomes. Others, such as bacteria, are believed to have unknotted genomes. It remains to be determined if the genomes of higher organisms, such as humans, admit topologically complex forms.
In this talk,I will discuss claims by several authors that, using chromosome conformation capture data, argue that genomes have to be topologically simple and will also present some methods to quantify topological complexity.