About this Specialization

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Learner Career Outcomes
33%
Started a new career after completing this specialization.

100% online courses

Start instantly and learn at your own schedule.

Flexible Schedule

Set and maintain flexible deadlines.

Beginner Level

Approx. 11 months to complete

Suggested 4 hours/week

English

Subtitles: English, Portuguese (Brazilian), Chinese (Simplified), Spanish

Skills you will gain

Whole Genome SequencingViterbi AlgorithmSuffix TreePython ProgrammingAlgorithmsUnweighted Pair Group Method with Arithmetic Mean (UPGMA)Bioinformatics
Learner Career Outcomes
33%
Started a new career after completing this specialization.

100% online courses

Start instantly and learn at your own schedule.

Flexible Schedule

Set and maintain flexible deadlines.

Beginner Level

Approx. 11 months to complete

Suggested 4 hours/week

English

Subtitles: English, Portuguese (Brazilian), Chinese (Simplified), Spanish

How the Specialization Works

Take Courses

A Coursera Specialization is a series of courses that helps you master a skill. To begin, enroll in the Specialization directly, or review its courses and choose the one you'd like to start with. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. It’s okay to complete just one course — you can pause your learning or end your subscription at any time. Visit your learner dashboard to track your course enrollments and your progress.

Hands-on Project

Every Specialization includes a hands-on project. You'll need to successfully finish the project(s) to complete the Specialization and earn your certificate. If the Specialization includes a separate course for the hands-on project, you'll need to finish each of the other courses before you can start it.

Earn a Certificate

When you finish every course and complete the hands-on project, you'll earn a Certificate that you can share with prospective employers and your professional network.

how it works

There are 7 Courses in this Specialization

Course1

Course 1

Finding Hidden Messages in DNA (Bioinformatics I)

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Course2

Course 2

Genome Sequencing (Bioinformatics II)

Course3

Course 3

Comparing Genes, Proteins, and Genomes (Bioinformatics III)

Course4

Course 4

Molecular Evolution (Bioinformatics IV)

Instructors

Image of instructor, Pavel  Pevzner

Pavel Pevzner 

Professor
Department of Computer Science and Engineering
287,206 Learners
11 Courses
Image of instructor, Phillip Compeau

Phillip Compeau 

Visiting Researcher
Department of Computer Science & Engineering
108,294 Learners
8 Courses
Image of instructor, Nikolay Vyahhi

Nikolay Vyahhi 

Visiting Scholar
Department of Computer Science and Engineering
8,858 Learners
1 Course

Offered by

University of California San Diego logo

University of California San Diego

Frequently Asked Questions

  • Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.

  • This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.

  • The print companion accompanying the Specialization is Bioinformatics Algorithms: An Active Learning Approach (Vols. 1 and 2).

  • Time to completion can vary based on your schedule, but most learners are able to complete the Specialization in 4-6 months.

  • We require only a basic knowledge of high school-level biology and the ability to think technically.

  • We recommend taking the courses in the order presented, as each subsequent course will build on material from previous courses.

  • Coursera courses and certificates don't carry university credit, though some universities may choose to accept Specialization Certificates for credit. Check with your institution to learn more.

  • You will understand the ideas behind many different software tools that are used every day by biotech researchers, and you will know how to apply these tools to real datasets.

More questions? Visit the Learner Help Center.