關於此課程：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.
製作方： Johns Hopkins University
教學方： Steven Salzberg, PhD, Professor
Biomedical Engineering, Computer Science, and Biostatistics教學方： Jeff Leek, PhD, Associate Professor, Biostatistics
Bloomberg School of Public Health
| 基本信息 | 課程 1（共 8 門，基因组数据科学 Specialization ） |
| 語言 | 英語（English） |
| 如何通過 | 通過所有計分作業以完成課程。 |
| 用戶評分 |
授課大綱
第 1 週
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 個視頻, 2 個閱讀材料
- Reading: Syllabus
- Reading: Pre-Course Survey
- 視頻: What Is Genomics?
- 視頻: What Is Genomic Data Science?
- 視頻: Just Enough Cell Biology
- 視頻: Important Molecules in Molecular Biology
- 視頻: The Human Genome Project
- 視頻: Molecular Biology Structures
- 視頻: From Genes to Phenotypes
已評分: Quiz 1: Overview and Molecular Biology
第 2 週
Measurement Technology
In this module, you'll learn about polymerase chain reaction, next generation sequencing, and applications of sequencing.
3 個視頻
- 視頻: Next Generation Sequencing
- 視頻: Applications of Sequencing
已評分: Quiz 2: Measurement Technology
第 3 週
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 個視頻
- 視頻: Algorithms
- 視頻: Memory and Data Structures
- 視頻: Efficiency
- 視頻: Software Engineering
- 視頻: What is Computational Biology Software
已評分: Quiz 3: Computing Technology
第 4 週
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 個視頻, 2 個閱讀材料
- 視頻: What Went Wrong?
- 視頻: The Central Dogma of Statistics
- 視頻: Data Sharing Plans
- 視頻: Getting Help with Statistics
- 視頻: Plotting Your Data
- 視頻: Sample Size and Variability
- 視頻: Statistical Significance
- 視頻: Multiple Testing
- 視頻: Study Design, Batch Effects, and Confounding
- Reading: Course Project Instructions and Reading
- Reading: Post-Course Survey
已評分: Quiz 4: Data Science Technology
已評分: Course Project
常見問題解答
運作方式
Coursework
Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.
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製作方
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.
價格
| 購買課程 | |
|---|---|
| 訪問課程材料 | 可用 |
| 訪問評分的材料 | 可用 |
| 收到最終成績 | 可用 |
| 獲得可共享的課程證書 | 可用 |
評分和審閱
It's good. Some parts are unclear...like the statistics and p-value information.
Very nice and concise intro to genomics.
Brilliantly put together with conversational language thus making it very easy to follow all the videos. The instructors are experts in the field thus were able to make the course very simple, yet with good depth!
M
GOOD