RiseUpp Logo
Educator Logo

Command Line Tools for Genomic Data Science

This course is part of Genomic Data Science.

This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Genomic Data Science Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.

4

(550 ratings)

29,142 already enrolled

English

پښتو, বাংলা, اردو, 3 more

Powered by

Provider Logo
Command Line Tools for Genomic Data Science

This course includes

11 Hours

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

Free course

What you'll learn

  • Master basic Unix commands for file management

  • Learn to use SAMtools and BEDtools for sequence analysis

  • Understand sequence alignment and variant calling tools

  • Gain practical experience with RNA-seq analysis tools

  • Develop proficiency in command-line genomic data manipulation

Skills you'll gain

Bioinformatics
Samtools
Command-Line Interface
Unix
File Management
Sequence Analysis
RNA-seq Analysis
BWA
BEDtools
Genomic Tools

This course includes:

6 Hours PreRecorded video

8 quizzes

Access on Mobile, Tablet, Desktop

FullTime access

Shareable certificate

Get a Completion Certificate

Share your certificate with prospective employers and your professional network on LinkedIn.

Certificate

Top companies offer this course to their employees

Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

icon-0icon-1icon-2icon-3icon-4

There are 4 modules in this course

This course introduces the command-line tools essential for managing and analyzing genomic data. Students learn basic Unix commands for file manipulation, followed by specialized tools like SAMtools, BEDtools, and BWA for sequence analysis. The curriculum covers practical applications in genomic data science, including sequence alignment, variant calling, and RNA-seq analysis. Through hands-on exercises, students gain experience with industry-standard bioinformatics tools and workflows.

Basic Unix Commands

Module 1 · 3 Hours to complete

Week Two

Module 2 · 3 Hours to complete

Week Three

Module 3 · 2 Hours to complete

Week Four

Module 4 · 2 Hours to complete

Fee Structure

Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Genomic Data Science

Instructor

Liliana Florea, PhD
Liliana Florea, PhD

3.4 rating

55 Reviews

29,961 Students

2 Courses

Dr. Liliana Florea serves as an Associate Professor of Medicine in the McKusick-Nathans Department of Genetic Medicine at Johns Hopkins University, where she specializes in developing computational methods for analyzing large-scale sequencing data. Her distinguished career includes being part of the groundbreaking team at Celera Genomics that first sequenced the human genome. Before joining Johns Hopkins in 2011, she held a faculty position at George Washington University. Her research focuses o

Genomics and Computational Biology Pioneer at Johns Hopkins

Command Line Tools for Genomic Data Science

This course includes

11 Hours

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

Free course

Testimonials

Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.

Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.