Bioinformatics Algorithms - AI-Powered Learning for Developers

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.

Beginner

105 Lessons

10h

Certificate of Completion

AI-POWERED

Explanations

AI-POWERED

Explanations

This course includes

24 Playgrounds

15 Challenges

This course includes

24 Playgrounds

15 Challenges

Course Overview

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, an...Show More

TAKEAWAY SKILLS

Python Programming

Scientific Algorithms

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

What You'll Learn

Familiarity with genomics

Course Content

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

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

Open Problem: Multiple Replication Origins in a Bacterial Genome Open Problem: Finding Replication Origins in Archaea Open Problem: Finding Replication Origins in Yeast Open Problem: Computing Probabilities of Patterns in a String Charging Station: The Frequency Array Charging Station: Conversions between Patterns and Numbers Charging Station: Finding Frequent Words by Sorting Charging Station: Solving the Clump Finding Problem Charging Station: Solving Frequent Words with Mismatches Problem Charging Station: Generating the Neighborhood of a String Charging Station: Find Frequent Words with Mismatching by Sorting Detour : Big-O Notation Detour: Probabilities of Patterns in a String Detour: The Most Beautiful Experiment in Biology Detour: Directionality of DNA Strands Detour: The Towers of Hanoi Detour: The Overlapping Words Paradox

How Do We Assemble Genomes?

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

Exploding Newspapers The String Reconstruction Problem String Reconstruction With Overlap Graph: From String To Graph String Reconstruction With Overlap Graph: The Genome Vanishes String Reconstruction with Overlap Graph: Graph Representation String Reconstruction with Overlap Graph: Hamiltonian Paths String Reconstruction with Gluing Nodes and De Bruijn Graphs Walking in the de Bruijn Graph De Bruijn Graphs: Another Way of Construction De Bruijn Graphs: Construction from K-mer Composition De Bruijn graphs: Comparison with Overlap Graphs The Seven Bridges of Königsberg Euler’s Theorem Constructing Eulerian Cycles and Paths from Euler’s Theorem Constructing Universal Strings Assembling Genomes: From Reads to Read-Pairs Assembling genomes: Transforming Read-Pairs to Long Virtual Reads Assembling genomes: From Composition to Paired Composition Assembling genomes: Paired De Bruijn Graphs Epilogue: Genome Assembly Faces Real Sequencing Data Quiz

Assemble Genomes: Charging Stations, and Detours

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

Charging Station: The Effect Of Gluing On the Adjacency Matrix Charging Station: Generating All Eulerian Cycles Charging Station: Reconstructing String in Paired De Bruijn Graph Charging Station: Maximal Non-Branching Paths in a Graph Detour: A Short History of DNA Sequencing Technologies Detour: Repeats in the Human Genome Detour: Graphs Detour: The Icosian Game Detour: Tractable and Intractable Problems Detour: From Euler to Hamilton to de Bruijn Detour: Pitfalls of Assembling Double-Stranded DNA Detour: The BEST Theorem

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

1 Lesson

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

Course Author

Trusted by 1.4 million developers working at companies

Anthony Walker

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Emma Bostian 🐞

@EmmaBostian

Evan Dunbar

ML Engineer

Carlos Matias La Borde

Software Developer

Souvik Kundu

Front-end Developer

Vinay Krishnaiah

Software Developer

Eric Downs

Musician/Entrepeneur

Kenan Eyvazov

DevOps Engineer

Anthony Walker

@_webarchitect_

Emma Bostian 🐞

@EmmaBostian

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