Об этом курсе
4.5
Оценки: 1,263
Рецензии: 227
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....
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Approx. 7 hours to complete

Предполагаемая нагрузка: 6 hours/week...
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English

Субтитры: English...

Приобретаемые навыки

BioinformaticsStatisticsData ScienceComputational Biology
Globe

Только онлайн-курсы

Начните сейчас и учитесь по собственному графику.
Calendar

Гибкие сроки

Назначьте сроки сдачи в соответствии со своим графиком.
Clock

Approx. 7 hours to complete

Предполагаемая нагрузка: 6 hours/week...
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English

Субтитры: English...

Программа курса: что вы изучите

Week
1
Clock
2 ч. на завершение

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"....
Reading
8 видео (всего 81 мин.), 2 материалов для самостоятельного изучения, 1 тест
Video8 видео
What Is Genomics?7мин
What Is Genomic Data Science?8мин
Just Enough Cell Biology8мин
Important Molecules in Molecular Biology7мин
The Human Genome Project17мин
Molecular Biology Structures9мин
From Genes to Phenotypes9мин
Reading2 материала для самостоятельного изучения
Syllabus10мин
Pre-Course Survey10мин
Quiz1 практическое упражнение
Quiz 1: Overview and Molecular Biology20мин
Week
2
Clock
1 ч. на завершение

Measurement Technology

In this module, you'll learn about polymerase chain reaction, next generation sequencing, and applications of sequencing....
Reading
3 видео (всего 25 мин.), 1 тест
Video3 видео
Next Generation Sequencing7мин
Applications of Sequencing8мин
Quiz1 практическое упражнение
Quiz 2: Measurement Technology20мин
Week
3
Clock
1 ч. на завершение

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....
Reading
6 видео (всего 39 мин.), 1 тест
Video6 видео
Algorithms4мин
Memory and Data Structures6мин
Efficiency3мин
Software Engineering8мин
What is Computational Biology Software11мин
Quiz1 практическое упражнение
Quiz 3: Computing Technology20мин
Week
4
Clock
2 ч. на завершение

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....
Reading
10 видео (всего 55 мин.), 2 материалов для самостоятельного изучения, 2 тестов
Video10 видео
What Went Wrong?4мин
The Central Dogma of Statistics3мин
Data Sharing Plans4мин
Getting Help with Statistics2мин
Plotting Your Data5мин
Sample Size and Variability7мин
Statistical Significance6мин
Multiple Testing7мин
Study Design, Batch Effects, and Confounding7мин
Reading2 материала для самостоятельного изучения
Course Project Instructions and Reading10мин
Post-Course Survey10мин
Quiz2 практического упражнения
Quiz 4: Data Science Technology20мин
Course Project20мин
4.5
Direction Signs

30%

начал новую карьеру, пройдя эти курсы
Briefcase

83%

получил значимые преимущества в карьере благодаря этому курсу

Лучшие рецензии

автор: KKNov 21st 2017

Relatively nice introduction course, contents are maybe rather limited, yet as an instructive course, it does provide a clear overview which correlates well with the required answers for the quizzes!

автор: MRJun 13th 2016

Very good introductory course. It's a lot of material to cover for a newbie, but if you have some background, you will find you progress pretty quickly. Enjoyable, engaging, fun and useful.

Преподавателя

Steven Salzberg, PhD

Professor
Biomedical Engineering, Computer Science, and Biostatistics

Jeff Leek, PhD

Associate Professor, Biostatistics
Bloomberg School of Public Health

О Johns Hopkins University

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....

О специализации ''Genomic Data Science'

This specialization covers the concepts and tools to understand, analyze, and interpret data from next generation sequencing experiments. It teaches the most common tools used in genomic data science including how to use the command line, Python, R, Bioconductor, and Galaxy. The sequence is a stand alone introduction to genomic data science or a perfect compliment to a primary degree or postdoc in biology, molecular biology, or genetics. To audit Genomic Data Science courses for free, visit https://www.coursera.org/jhu, click the course, click Enroll, and select Audit....
Genomic Data Science

Часто задаваемые вопросы

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

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