Об этом курсе: This course introduces you to the basic biology of modern genomics and the experimental tools that we use to measure it. We'll introduce the Central Dogma of Molecular Biology and cover how next-generation sequencing can be used to measure DNA, RNA, and epigenetic patterns. You'll also get an introduction to the key concepts in computing and data science that you'll need to understand how data from next-generation sequencing experiments are generated and analyzed. This is the first course in the Genomic Data Science Specialization.
Автор: Университет Джонса Хопкинса
Преподаватели: Steven Salzberg, PhD, Professor
Biomedical Engineering, Computer Science, and Biostatistics
Преподаватели: Jeff Leek, PhD, Associate Professor, Biostatistics
Bloomberg School of Public Health
| Основные сведения | Course 1 of 8 in the Genomic Data Science Specialization |
| Язык | English |
| Как пройти курс | Чтобы пройти курс, выполните все оцениваемые задания. |
| Оценки пользователей |
Программа курса
НЕДЕЛЯ 1
Overview
In this Module, you can expect to study topics of "Just enough molecular biology", "The genome", "Writing a DNA sequence", "Central dogma", "Transcription", "Translation", and "DNA structure and modifications".
8 видео, 2 материалов для самостоятельного изучения
- Reading: Syllabus
- Reading: Pre-Course Survey
- Видео: Why Genomics?
- Видео: What Is Genomics?
- Видео: What Is Genomic Data Science?
- Видео: Just Enough Cell Biology
- Видео: Important Molecules in Molecular Biology
- Видео: The Human Genome Project
- Видео: Molecular Biology Structures
- Видео: From Genes to Phenotypes
Оцениваемый: Quiz 1: Overview and Molecular Biology
НЕДЕЛЯ 2
Measurement Technology
In this module, you'll learn about polymerase chain reaction, next generation sequencing, and applications of sequencing.
3 видео
- Видео: Polymerase Chain Reaction
- Видео: Next Generation Sequencing
- Видео: Applications of Sequencing
Оцениваемый: Quiz 2: Measurement Technology
НЕДЕЛЯ 3
Computing Technology
The lectures for this module cover a few basic topics in computing technology. We'll go over the foundations of computer science, algorithms, memory and data structures, efficiency, software engineering, and computational biology software.
6 видео
- Видео: What Is Computer Science?
- Видео: Algorithms
- Видео: Memory and Data Structures
- Видео: Efficiency
- Видео: Software Engineering
- Видео: What is Computational Biology Software
Оцениваемый: Quiz 3: Computing Technology
НЕДЕЛЯ 4
Data Science Technology
In this module on Data Science Technology, we'll be covering quite a lot of information about how to handle the data produced during the sequencing process. We'll cover reproducibility, analysis, statistics, question types, the central dogma of inference, analysis code, testing, prediction, variation, experimental design, confounding, power, sample size, correlation, causation, and degrees of freedom.
10 видео, 2 материалов для самостоятельного изучения
- Видео: Why Care About Statistics?
- Видео: What Went Wrong?
- Видео: The Central Dogma of Statistics
- Видео: Data Sharing Plans
- Видео: Getting Help with Statistics
- Видео: Plotting Your Data
- Видео: Sample Size and Variability
- Видео: Statistical Significance
- Видео: Multiple Testing
- Видео: Study Design, Batch Effects, and Confounding
- Reading: Course Project Instructions and Reading
- Reading: Post-Course Survey
Оцениваемый: Quiz 4: Data Science Technology
Оцениваемый: Course Project
Часто задаваемые вопросы
Как это работает
Coursework
Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.
Help from Your Peers
Connect with thousands of other learners and debate ideas, discuss course material, and get help mastering concepts.
Certificates
Earn official recognition for your work, and share your success with friends, colleagues, and employers.
Авторы
Университет Джонса Хопкинса
The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world.
Стоимость
| Приобрести курс | |
|---|---|
| Получить доступ к материалам курса | Доступен |
| Получить доступ к оцениваемым материалам курса | Доступен |
| Получить итоговую оценку | Доступен |
| Earn a shareable Course Certificate | Доступен |
Рейтинги и отзывы
The course is very interesting and easy to understand. Thank you!
it was a great introduction, covering many aspects
Great introduction to Genomics for those who have not yet covered the topic.
Coursera делает лучшее в мире образование доступным каждому, предлагая онлайн-курсы от ведущих университетов и организаций.
© Coursera Inc., 2018 Все права защищены.
LS
A nice introduction to the topic. Some background experience will be needed as the information is reviewed quite quickly.