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
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Command Line Tools for Genomic Data Science
This course is part of Genomic Data Science Specialization
Instructor: Liliana Florea, PhD
31,035 already enrolled
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Gain insight into a topic and learn the fundamentals.
4.0
(563 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.
- 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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Instructor
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3.4 (55 ratings)Offered by
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Status: Free TrialJohns Hopkins University
Status: Free TrialJohns Hopkins University
Status: Free TrialJohns Hopkins University
Status: Free TrialJohns Hopkins University
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4.0
563 reviews
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Showing 3 of 563
CW
5
Reviewed on Aug 5, 2020
There were some typos and confusion about the need not to follow the example code for Exam 4.However, I thought that the course was good and useful overall.Thank You!
AA
5
Reviewed on Mar 10, 2016
Very interesting and detailed course.Most I liked the tasks: they are very detaild. Thanks to them I've leraned a lot of new things.
GC
5
Reviewed on Apr 8, 2018
A really hard introduction to bioinformatics pipelines, it was difficult but was stimulant!
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