Bioinformatics Capstone: Big Data in Biology
- Offered byCoursera
- Public/Government Institute
Bioinformatics Capstone: Big Data in Biology at Coursera Overview
Bioinformatics Capstone: Big Data in Biology
at Coursera
Duration | 14 hours |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Intermediate |
Official Website | Explore Free Course  |
Credential | Certificate |
Bioinformatics Capstone: Big Data in Biology
Table of content
- Overview
- Highlights
- Course Details
- Curriculum
Bioinformatics Capstone: Big Data in Biology at Coursera Highlights
Bioinformatics Capstone: Big Data in Biology
at Coursera
- Shareable Certificate Earn a Certificate upon completion
- 100% online Start instantly and learn at your own schedule.
- Course 7 of 7 in the Bioinformatics Specialization
- Flexible deadlines Reset deadlines in accordance to your schedule.
- Beginner Level
- Approx. 14 hours to complete
- English Subtitles: English
Read more
Bioinformatics Capstone: Big Data in Biology at Coursera Course details
Bioinformatics Capstone: Big Data in Biology
at Coursera
More about this course
- 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!
Bioinformatics Capstone: Big Data in Biology at Coursera Curriculum
Bioinformatics Capstone: Big Data in Biology
at Coursera
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
Reading: Part 3 FAQs
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