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.
Command Line Tools for Genomic Data Science
Command Line Tools for Genomic Data Science
This course is part of Genomic Data Science Specialization
Instructor: Liliana Florea, PhD
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Gain insight into a topic and learn the fundamentals.
4.0
(570 reviews)
1 week to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
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Assessments
8 assignments
Taught in English
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This course is part of the Genomic Data Science Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
There are 4 modules in this course
In this module, you will be introduced to Command Line Tools for Genomic Data Science
What's included
12 videos6 readings2 assignments
In this module, we'll be taking a look at Sequences and Genomic Features in a sequence of 10 presentations.
What's included
11 videos1 reading2 assignments
In this module, we'll be going over Alignment and Sequence Variation in another sequence of 8 presentations.
What's included
8 videos1 reading2 assignments
In this module, we'll be going over Tools for Transcriptomics in a sequence of 6 presentations.
What's included
8 videos2 readings2 assignments
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3.4 (58 ratings)Offered by
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Showing 3 of 570
VD
4
Reviewed on Jan 8, 2017
More in-depth explanation would be better. Reasonable projects, overall. Well structured.
AD
4
Reviewed on Aug 26, 2018
Very informative course. Only downside is that the example datasets/scripts are not provided (which I tend to find to be useful for learning informatics).
AA
5
Reviewed on Oct 23, 2025
i want to start this course free throughout , kindly allow it for everyone , your course is such an amazing skill that everyone should has
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