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Bioconductor for Genomic Data Science

Johns Hopkins University Online Course Highlights
  • weeks long
  • 6 hours per week
  • Learn for FREE, Ugpradable
  • Self-Paced
  • Taught by: Kasper Daniel Hansen, PhD, Assistant Professor, Biostatistics and Genetic Medicine
  • View Course Syllabus

Online Course Details:

Learn to use tools from the Bioconductor project to perform analysis of genomic data. This is the fifth course in the Genomic Big Data Specialization from Johns Hopkins University.This specialization covers the concepts and tools to understand, analyze, and interpret data from next generation sequencing experiments. It teaches the most common tools used in genomic data science including how to use the command line, Python, R, Bioconductor, and Galaxy.

The sequence is a stand alone introduction to genomic data science or a perfect compliment to a primary degree or postdoc in biology, molecular biology, or genetics.
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