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University of California, San Diego

Bioinformatics Capstone: Big Data in Biology

University of California, San Diego via Coursera


In this course, you will learn how to use the BaseSpace cloud platform developed by Illumina (our industry partner) to apply several standard bioinformatics software approaches to real biological data. In particular, in a series of Application Challenges will see how genome assembly can be used to track the source of a food poisoning outbreak, how RNA-Sequencing can help us analyze gene expression data on the tissue level, and compare the pros and cons of whole genome vs. whole exome sequencing for finding potentially harmful mutations in a human sample. Plus, hacker track students will have the option to build their own genome assembler and apply it to real data!


  • Assembly and Annotation of the SARS-CoV-2 Genome
  • Variant Detection and Classification of SARS-CoV-2
  • SARS-CoV-2 Spike Protein Structure Analysis

Taught by

Phillip Compeau and Pavel Pevzner


1.0 rating, based on 1 Class Central review

3.8 rating at Coursera based on 24 ratings

Start your review of Bioinformatics Capstone: Big Data in Biology

  • Paolo Binetti
    This course, as others in Coursera catalog, suffer from Coursera's new learning policies, which deteriorate the learnang experience, significantly slowing progress towards completion. In particular I refer to their decision NOT to give you full acce…

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