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Genomics Data Analysis

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Genomics Data Analysis provided by edX is a comprehensive online course, which lasts for 12 weeks long, 2-4 hours a week. Genomics Data Analysis is taught by Rafael Irizarry, Michael Love and Vincent Carey. Upon completion of the course, you can receive an e-certificate from edX. The course is taught in Englishand is Paid Course. Visit the course page at edX for detailed price information.

Harvard University via edX
12 weeks long, 2-4 hours a week
24th, Oct 2022
Overview

  • The Genomics Data Analysis XSeries is an advanced series that will enable students to analyze and interpret data generated by modern genomics technology.

    Using open source software, including R and Bioconductor, you will acquire skills to analyze and interpret genomic data.

    This XSeries is perfect for those who seek advanced training in high-throughput technology data. Problem sets will require coding in the R language to ensure learners fully grasp and master key concepts. The final course investigates data analysis for several experimental protocols in genomics.

Syllabus

  • Courses under this program:
    Course 1: High-performance Computing for Reproducible Genomics
    Learn how to bridge from diverse genomic assay and annotation structures to data analysis and research presentations via innovative approaches to computing.

    Course 2: Case Studies in Functional Genomics
    Explore data analysis of several experimental protocols, using open source software, including R and Bioconductor.

    Course 3: Introduction to Bioconductor: Annotation and Analysis of Genomes and Genomic Assays
    The structure, annotation, normalization, and interpretation of genome scale assays.

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