À propos de ce cours : 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!
Les destinataires de ce cours : This course is aimed at technically-minded students who have completed the first six courses in the Bioinformatics Specialization.
Créé par : University of California San Diego
Enseigné par : Phillip Compeau, Visiting Researcher
Department of Computer Science & Engineering
Enseigné par : Pavel Pevzner, Professor
Department of Computer Science and Engineering
| Informations de base | Cours 7 de 7 dans Bioinformatics Specialization |
| Niveau | Débutant |
| Engagement | 3 weeks of study, 3-4 hours/week |
| Langue | English |
| Comment réussir | Réussissez tous les devoirs notés pour terminer le cours. |
| Notes des utilisateurs |
Programme de cours
SEMAINE 1
Week 1: Identifying the Culprit in a Food Poisoning Outbreak
This week, we will apply genome sequencing algorithms to identify the bacterium causing a deadly food poisoning outbreak.
4 lectures
- Leyendo: Welcome to Class!
- Leyendo: Special Thanks
- Leyendo: Introduction
- Leyendo: Databases and Tools
Noté: Application Challenge 1
SEMAINE 2
Week 2: Comparing Gene Expression in Tissue Samples with RNA-Seq
In this week's Application Challenge, we will learn how RNA-Sequencing can be applied to perform tissue-level gene expression analysis. In particular, which is more similar on a gene expression level: different tissues from the same organism, or analogous tissues from related species? This question was the subject of recent debate and a Twitter controversy -- read more to find out!
2 lectures
- Leyendo: Introduction
- Leyendo: Databases and Tools
Noté: Application Challenge 2
SEMAINE 3
Week 3: Weighing the Pros and Cons of Whole Genome and Whole Exome Sequencing on a Human Sample
Comparing the differences between sequencing an entire human genome and sequencing only the exome, or the DNA that is eventually translated into protein. Can we obtain a complete picture of someone's genetic disease predispositions from only the exome, or is there information lurking in introns that can provide doctors with vital information? How do we weigh the trade-offs when considering genome and exome sequencing?
4 lectures
- Leyendo: Introduction
- Leyendo: Databases and Tools
- Leyendo: Walkthroughs
- Leyendo: Reading: Part 3 FAQs
Noté: Application Challenge 3
FAQ
Comment cela fonctionne
Trabajo del curso
Cada curso es como un libro de texto interactivo, con videos pregrabados, cuestionarios y proyectos.
Ayuda de tus compañeros
Conéctate con miles de estudiantes y debate ideas y materiales del curso, y obtén ayuda para dominar los conceptos.
Certificados
Obtén reconocimiento oficial por tu trabajo y comparte tu éxito con amigos, compañeros y empleadores.
Créateurs
University of California San Diego
UC San Diego is an academic powerhouse and economic engine, recognized as one of the top 10 public universities by U.S. News and World Report. Innovation is central to who we are and what we do. Here, students learn that knowledge isn't just acquired in the classroom—life is their laboratory.
Tarification
| Acheter le cours | |
|---|---|
| Accéder au contenu du cours | Disponible |
| Accéder au contenu noté | Disponible |
| Recevoir une Note Finale | Disponible |
| Obtenir un Certificat de Cours partageable | Disponible |
Notation et examens
Great course and specialization!!
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TW
This specialization is well organized, and the stepik interactive textbook is a splendid tool for learning. I learned a lot about bioinformatics algorithms from this specialization, especially from the programming assignments.