- Level Foundation
- المدة 13 ساعات hours
- الطبع بواسطة University of California San Diego
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Offered by
عن
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!الوحدات
Application Challenge: Assembly and Annotation of the SARS-CoV-2 Genome
1
Peer Review
- Application Challenge #1
1
Readings
- Introduction
Application Challenge: Variant Detection and Classification of SARS-CoV-2
1
Peer Review
- Application Challenge #2
1
Readings
- Introduction
Application Challenge: SARS-CoV-2 Spike Protein Structure Analysis
1
Peer Review
- Application Challenge #3
3
Readings
- Introduction
- The Four Levels of Protein Structure
- Proteins seek the lowest energy conformation
Auto Summary
Unlock the power of big data in biology with the Bioinformatics Capstone: Big Data in Biology course. This foundational course, offered by Coursera, is designed for individuals interested in the intersection of biology and data science within the health and fitness domain. Guided by expert instruction, learners will delve into the BaseSpace cloud platform by Illumina, applying industry-standard bioinformatics software to real biological datasets. Through practical Application Challenges, participants will explore crucial concepts such as genome assembly for tracking food poisoning outbreaks, RNA-Sequencing for gene expression analysis, and the evaluation of whole genome versus whole exome sequencing in detecting harmful mutations. For those seeking an even deeper dive, the hacker track offers the opportunity to build a custom genome assembler and test it on actual data, enhancing both technical skills and practical knowledge. This comprehensive course spans over 780 hours and offers flexible subscription options including Starter and Professional plans to suit varying learning needs. Ideal for aspiring bioinformaticians, data scientists, and biology enthusiasts, this capstone project paves the way for mastering the integration of big data and biology, equipping students with cutting-edge skills in a rapidly evolving field.

Phillip Compeau

Pavel Pevzner