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
29,610 already enrolled
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Gain insight into a topic and learn the fundamentals.
4.0
(554 reviews)
11 hours to complete
3 weeks at 3 hours a week
Flexible schedule
Learn at your own pace
87%
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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.
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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
Instructor
Instructor ratings
3.4 (55 ratings)Offered by
Recommended if you're interested in Data Analysis
University of Colorado System
Johns Hopkins University
University of Michigan
University of Colorado Boulder
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4.0
554 reviews
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Showing 3 of 554
PS
5
Reviewed on Jun 26, 2020
A very well planned course for beginners who don't have any experience with command line language for exploring genomic data
GY
5
Reviewed on Aug 28, 2017
Highly recommended.
HP
4
Reviewed on Mar 10, 2022
Course explanation is good but some topics are not updated like mplieup is now not included in samtools and they didnot update information. Instructor taught lectures very well.
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