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Online Course

Command Line Tools for Genomic Data Science

Johns Hopkins University via Coursera

Overview

Introduces to the commands that you need to manage and analyze directories, files, and large sets of genomic data. This is the fourth course in the Genomic Big Data Science Specialization from Johns Hopkins University.

Syllabus

Basic Unix Commands
-In this module, you will be introduced to command Line Tools for Genomic Data Science

Week Two
-In this module, we'll be taking a look at Sequences and Genomic Features in a sequence of 10 presentations.

Week Three
-In this module, we'll be going over Alignment and Sequence Variation in another sequence of 8 presentations.

Week Four
-In this module, we'll be going over Tools for Transcriptomics in a sequence of 6 presentations.

Taught by

Liliana Florea

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Reviews

2.2 rating, based on 9 reviews

Start your review of Command Line Tools for Genomic Data Science

  • Vijay Lakhujani completed this course, spending 2 hours a week on it and found the course difficulty to be easy.

    This is part of the Genomic Data Science specialization program that Johns Hopkins University is offering. Resources Required- need to setup CentOS. I felt that it is not essentially required. All the tools can be easily setup on any linux flavour (I...
  • Anonymous

    Anonymous completed this course.

    This is part of the Genomic Data Science specialization program that Johns Hopkins University is offering. So far I have taken 5 of the 8 courses, and I consider Command Line Tools to be the worst of the lot. To complete homework assignments you need...
  • Anonymous
    Really, really poor. Very very boring lectures. Also, you cannot learn this kind of thing by just showing commands one by one and expecting students to remember. This kind of knowledge has to be applied, which means setting up constant challenges and practical tests. It would help if the tools were applied to a start-to-finish bioinformatics problem on real (but managably small) data which answers specific questions and poses specific biological problems. The course has huge potential becasue these are core bioinformatics tools, but the way it's taught is just so un-engaging.
  • Anonymous

    Anonymous completed this course.

    I covers the content you would hope for in a course on analysis of genomics data using command line tool, and for that, I give it two stars. However, the assessments often have inadequate instructions, and teaching is rather bare-bones. I wish there was an equivalent course out there that was taught better.
  • Robert Grutza

    Robert Grutza completed this course, spending 2 hours a week on it and found the course difficulty to be medium.

    I thought the course was very clear in instructions and as a tutorial for the command line. Don't know how it could have been clearer in its instruction.
  • Anonymous

    Anonymous completed this course.

    No question the worst class I've taken so far on coursera. I've had to google many times due to the bad explanations instructor gave.
  • Anonymous

    Anonymous completed this course.

    This course was well structured, I have benefited a lot from it. Not intimidated by writing my own commands in Ubuntu any more.
  • Fernanda Gaiotto completed this course, spending 5 hours a week on it and found the course difficulty to be easy.

  • Colin Khein completed this course.

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