4.0
stars
523 ratings

Liliana Florea, PhD

25,058 already enrolled

Offered By

Johns Hopkins University

About this Course

20,499 recent views

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.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

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Approx. 11 hours to complete

English

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Skills you will gain

Bioinformatics
Samtools
Unix
Command-Line Interface

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Approx. 11 hours to complete

English

Could your company benefit from training employees on in-demand skills?

Try Coursera for Business

Instructor

Instructor rating

3.31/5 (50 Ratings)

Liliana Florea, PhD

Assistant Professor

McKusick-Nathans Institute of Genetic Medicine

25,058 Learners

1 Course

Offered by

Johns Hopkins University

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Syllabus - What you will learn from this course

Content Rating88%(2,221 ratings)

Week1

Week 1

4 hours to complete

Basic Unix Commands

4 hours to complete

12 videos (Total 105 min), 5 readings, 2 quizzes

12 videos

Basic Unix Commands 1: Content Representation3mBasic Unix Commands 2: Files, Directories, Paths7mBasic Unix Commands 3: File Naming4mBasic Unix Commands 4: Content Creation9mBasic Unix Commands 5: Accessing Content I6mBasic Unix Commands 6: Accessing Content II4mBasic Unix Commands 7: Redirecting Content6mBasic Unix Commands 8: Querying Content15mBasic Unix Commands 9: Comparing Content11mBasic Unix Commands 10: Archiving Content13mBasic Unix Commands 11: Practical Exercises I13mBasic Unix Commands 12: Practical Exercises II9m

5 readings

Welcome Message10mSyllabus10mVMBox Download & Instructions10mPre-Course Survey10mModule 1 Exam Instructions **IMPORTANT**10m

2 practice exercises

Module 1 Quiz30mModule 1 Exam30m

Week2

Week 2

3 hours to complete

Week Two

3 hours to complete

11 videos (Total 127 min), 1 reading, 2 quizzes

11 videos

Sequences and Genomic Features 1: Molecular Bio Primer6mSequences and Genomic Features 2: Sequence Representation and Generation11mSequences and Genomic Features 3: Annotation14mSequences and Genomic Features 4.1: Alignment I13mSequences and Genomic Features 4.2: Alignment II9mSequences and Genomic Features 5: Recreating Sequences & Features12mSequences and Genomic Features 6: Genomic Feature Retrieval5mSequences and Genomic Features 7: SAMtools I11mSequences and Genomic Features 8: SAMtools II9mSequences and Genomic Features 9: BEDtools I15mSequences and Genomic Features 10: BEDtools II15m

1 reading

Module 2 Exam Instructions **IMPORTANT**10m

2 practice exercises

Module 2 Quiz30mModule 2 Exam30m

Week3

Week 3

2 hours to complete

Week Three

2 hours to complete

8 videos (Total 55 min), 1 reading, 2 quizzes

8 videos

Alignment & Sequence Variation 1: Overview4mAlignment & Sequence Variation 2: Alignment & Variant Detection Tools5mAlignment & Sequence Variation 3: VCF11mAlignment & Sequence Variation 4: Bowtie9mAlignment & Sequence Variation 5: BWA 4mAlignment & Sequence Variation 6: SAMtools (mpileup)6mAlignment & Sequence Variation 7: BCFtools8mAlignment & Sequence Variation 8: Variant Calling5m

1 reading

Module 3 Exam Instructions **IMPORTANT**10m

2 practice exercises

Module 3 Quiz30mModule 3 Exam30m

Week4

Week 4

3 hours to complete

Week Four

3 hours to complete

8 videos (Total 75 min), 2 readings, 2 quizzes

8 videos

Tools for Transcriptomics 1: Overview6mTools for Transcriptomics 2: RNA-seq7mTools for Transcriptomics 3.1: Tophat I9mTools for Transcriptomics 3.2: Tophat II 8mTools for Transcriptomics 4: Cufflinks10mTools for Transcriptomics 5: Cuffdiff16mTools for Transcriptomics 6.1: Integrated Genomics Viewer I8mTools for Transcriptomics 6.2: Integrated Genomics Viewer II 6m

2 readings

Module 4 Exam Instructions **IMPORTANT**10mPost-Course Survey10m

2 practice exercises

Module 4 Quiz30mModule 4 Exam30m

Reviews

4.0

151 reviews

5 stars
51.24%
4 stars
21.79%
3 stars
13.76%
2 stars
4.97%
1 star
8.22%

TOP REVIEWS FROM COMMAND LINE TOOLS FOR GENOMIC DATA SCIENCE

by AHMar 30, 2021

Very engaging course indeed. However, assignments were much harder and needed time to solve.

by WLJul 6, 2016

This is perhaps one of the most clearly taught courses I have had on Coursera. Thank you for putting in time to teach us!

by AMAug 21, 2019

Interesting course. I have used some of this tools for some time but I find their's still something new to learn

by NMJun 18, 2021

Leart a lot. Recommend all others this course. Lecturer also cool and explain every bit of course contents.

View all reviews

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The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

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Command Line Tools for Genomic Data Science

About this Course

Skills you will gain