Announcements | Centre for Modeling and Simulation | Savitribai Phule Pune University

Colloquium | Machine Learning Methods for Prediction and Analysis of Genome Regulation in 3D

Title	Machine Learning Methods for Prediction and Analysis of Genome Regulation in 3D
Speaker	Sarvesh Nikumbh, Doctoral Student, Max Planck Institute for Informatics, Germany Sarvesh Nikumbh is a doctoral researcher at the Max Planck Institute for Informatics, Germany. Previously, Sarvesh obtained his BE in Computer Science from Mumbai University and an MTech in Modeling and Simulation from the Centre for Modeling and Simulation, SPPU. He has experience working with linguists, physicists and, most recently, biologists. His current research interests span computational biology and machine learning.
Date & Time	Saturday, 28 July 2018 \| 10:00-11:00
Venue	Kelkar Lab, CMS
Abstract	The approximately 2 meters long human genome is packed inside the cell nucleus, which is a sphere just 6 micrometers wide, as a three-dimensional (3D) structure. This complex, compact 3D conformation of the genome makes regulation of genes on it by elements that are located distantly on the linear DNA sequence possible by bringing them spatially close. In this talk, I will begin by briefly introducing the experimental techniques to probe the 3D organization of the genome. I will then discuss how interpretable machine learning methods can help gain insights into the complex 3D regulatory mechanisms of the genome.
Organizer/Host	Harshada Kelkar (harshada.kelkar@cms.unipune.ac.in) & Jafar Habshee (jafar.habshee@cms.unipune.ac.in)

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