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
(561 reviews)
11 hours to complete
3 weeks at 3 hours a week
Flexible schedule
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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
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4.0
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Showing 3 of 561
HP
4
Reviewed on Mar 11, 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.
GG
5
Reviewed on May 11, 2017
Great course. The last exam is a little bit tricky, specially when some commands are large and confusing. But with the help of forums, you can still find the right answers.
AD
4
Reviewed on Aug 27, 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).
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