HomeCoursesBioinformatics Algorithms

Updated 27 Aug

AI-powered learning

Save

Bioinformatics Algorithms

Name: Bioinformatics Algorithms
Price: 59 USD
Author: Phillip Compeau

Gain insights into bioinformatics by exploring genome assembly, DNA replication, and genetic sequence comparison through algorithmic principles. Delve into real-world applications like vaccine development and climate change.

5.0

105 lessons

10h

Created by Phillip Compeau

What's included

105 lessons across 8 modules
3 quizzes with instant feedback
AI Tutor on every lesson

Join 3.1 million developers at

What You'll Learn

Familiarity with genomics
Awareness of open problems in the field
Hands-on experience coding bioinformatics algorithms
Ability to apply a diverse set of graph, path-finding, and subsequence-matching algorithms to biological data

Learning Roadmap

105 Lessons3 Quizzes15 Challenges

Before Getting Started

Get familiar with the intersection of biological challenges and algorithmic concepts.

Introduction to the Course

Where in the Genome Does DNA Replication Begin?

Grasp the complexities of DNA replication origins, computational challenges, and algorithmic solutions.

DNA Replication: Open Problems, Charging Stations, and Detours

17 Lessons

Explore unresolved problems in DNA replication and advanced algorithmic techniques in bioinformatics.

How Do We Assemble Genomes?

21 Lessons

Grasp the fundamentals of genome assembly, from short DNA reads to de Bruijn graphs.

Assemble Genomes: Charging Stations, and Detours

12 Lessons

Take a closer look at genome assembly, Eulerian cycles, paired De Bruijn graphs, and DNA sequencing history.

How Do We Compare Biological Sequences?

27 Lessons

See how it works to compare biological sequences using various alignment techniques.

Biological Sequences: Detours

6 Lessons

Piece together the parts of biological sequences and computational techniques in bioinformatics.

Conclusion

Learn how to use bioinformatics tools, from DNA replication origins to machine learning.

Final Remarks

Certificate of Completion

Showcase your accomplishment by sharing your certificate of completion.

About this course

WHY I WROTE THIS COURSE

Bioinformatics is an interdisciplinary field spanning diverse domains like biology, statistics, and computer science. It focuses on developing algorithms that extract useful information from biological data. These insights help address critical issues like waste cleanup, vaccine development, and climate change. This course focuses on algorithmic principles driving advances in bioinformatics. It starts by introducing the learner to important concepts in genomics, such as DNA replication, genome assembly, and comparing genetic sequences. It applies concepts from algorithm design to genomics, like Eulerian paths, de Bruijn graphs, and longest common subsequences. It includes coding challenges, as well as sections on additional insights and thought-provoking questions. By the end of this course, you’ll have a basic knowledge of genomics. You’ll be able to apply a diverse set of algorithms to biological data to get insights and also be introduced to various open problems in this field.

ABOUT THE AUTHOR

Phillip Compeau

Serial online education founder and professor at Carnegie Mellon University

Learn more about Phillip

Trusted by 3.1 million developers working at companies

These are high-quality courses. Trust me the price is worth it for the content quality. Educative came at the right time in my career. I'm understanding topics better than with any book or online video tutorial I've done. Truly made for developers. Thanks

Anthony Walker

@_webarchitect_

Just finished my first full #ML course: Machine learning for Software Engineers from Educative, Inc. ... Highly recommend!

Evan Dunbar

ML Engineer

You guys are the gold standard of crash-courses... Narrow enough that it doesn't need years of study or a full blown book to get the gist, but broad enough that an afternoon of Googling doesn't cut it.

Software Developer

Carlos Matias La Borde

I spend my days and nights on Educative. It is indispensable. It is such a unique and reader-friendly site

Souvik Kundu

Front-end Developer

Your courses are simply awesome, the depth they go into and the breadth of coverage is so good that I don't have to refer to 10 different websites looking for interview topics and content.

Vinay Krishnaiah

Software Developer

Course

Introduction to Graph Machine Learning

Gain insights into graph machine learning fundamentals. Explore graph analytics, and advanced topics like graph embedding and neural networks, enhancing your skills for practical applications.

7 h

beginner

Course

An Introductory Guide to Data Science and Machine Learning

Gain insights into data science and machine learning, explore essential concepts and libraries, and work on real-time projects to become a confident data scientist.

6 h

beginner

Course

Grokking the Machine Learning Interview

Your proven path to success in Machine Learning Interviews, developed by FAANG engineers. Unlock ML loops at top companies with a System Design approach.

15 h

intermediate

Course

Algorithms for Coding Interviews in Python

Your ultimate guide to algorithms for coding interviews. Master several must-know algorithms, and test your skills with real-world problems from top companies.

15 h

intermediate

Course

Python for Scientists and Engineers

Gain insights into Python for scientific computing. Explore arrays, plotting, linear equations, and algorithms using NumPy, Matplotlib, SciPy. Delve into applying tools with practical exercises.

13 h

intermediate

Course

Introduction to Graph Machine Learning

beginner

7 hour

Course

An Introductory Guide to Data Science and Machine Learning

beginner

6 hour

Course

Grokking the Machine Learning Interview