Explore

Bioinformatics Capstone: Big Data in Biology

Approx. 14 hours to complete

Save Course

Go to Course

Course Summary

This course teaches the application of various bioinformatics tools and algorithms to solve biological problems. It covers topics such as sequence alignment, genome assembly, and gene expression analysis.

Key Learning Points

Learn how to use bioinformatics tools and algorithms to solve biological problems
Understand topics such as sequence alignment, genome assembly, and gene expression analysis
Work on a bioinformatics project from start to finish

Learning Outcomes

Ability to apply bioinformatics tools and algorithms to solve biological problems
Understanding of sequence alignment, genome assembly, and gene expression analysis
Experience working on a bioinformatics project from start to finish

Prerequisites or good to have knowledge before taking this course

Basic knowledge of biology and genetics
Familiarity with programming languages such as Python

Course Difficulty Level

Intermediate

Course Format

Online
Self-paced

Similar Courses

Bioinformatics: Introduction and Methods
Genomic Data Science with Galaxy

Related Education Paths

Notable People in This Field

Dr. Ewan Birney
Dr. Bonnie Berger

Related Books

Description

In this course, you will learn how to use the BaseSpace cloud platform developed by Illumina (our industry partner) to apply several standard bioinformatics software approaches to real biological data.

In particular, in a series of Application Challenges will see how genome assembly can be used to track the source of a food poisoning outbreak, how RNA-Sequencing can help us analyze gene expression data on the tissue level, and compare the pros and cons of whole genome vs. whole exome sequencing for finding potentially harmful mutations in a human sample. Plus, hacker track students will have the option to build their own genome assembler and apply it to real data!

Outline

Week 1: Identifying the Culprit in a Food Poisoning Outbreak
Note on Course Structure
Welcome to Class!
Special Thanks
Introduction
Databases and Tools

Week 2: Comparing Gene Expression in Tissue Samples with RNA-Seq
Introduction
Databases and Tools

Week 3: Weighing the Pros and Cons of Whole Genome and Whole Exome Sequencing on a Human Sample
Introduction
Databases and Tools
Walkthroughs

Summary of User Reviews

Read reviews of the Bioinformatics Project course on Coursera. Students found the course to be informative and well-structured.

Key Aspect Users Liked About This Course

Informative and well-structured course

Pros from User Reviews

Great introduction to bioinformatics
Engaging assignments and projects
Clear and concise explanations
Flexible schedule
Helpful community forum

Cons from User Reviews

Difficulty level may vary
Some technical issues with platform
Lack of individualized feedback
Limited interaction with instructors
Not for beginners in programming

Recommended for you

Statistical Analysis in Bioinformatics

Learn basic R programming to analyze biological big data to locate genes, perform simulations, and gauge the effect of specific markers....

Save Course