Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

YouTube

Statistical and Computational Approaches for Investigating Virus-Host Interactions Using Metagenomic Hi-C Data

BIMSA via YouTube

Overview

Coursera Spring Sale
40% Off Coursera Plus Annual!
Grab it
Explore statistical and computational methodologies for analyzing virus-host interactions through metagenomic Hi-C data in this conference talk from ICBS2025. Learn how advanced computational techniques can be applied to understand the complex relationships between viruses and their host organisms using high-throughput chromosome conformation capture data from metagenomic samples. Discover the statistical frameworks and algorithms used to identify and characterize virus-host interactions, including methods for processing and analyzing large-scale genomic datasets. Gain insights into the challenges and opportunities in computational biology for studying viral ecology and host-pathogen dynamics through cutting-edge sequencing technologies and bioinformatics approaches.

Syllabus

Fengzhu Sun: Statistical and Computational Approaches for Investigating Virus-host... #ICBS2025

Taught by

BIMSA

Reviews

Start your review of Statistical and Computational Approaches for Investigating Virus-Host Interactions Using Metagenomic Hi-C Data

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.