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.
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约翰霍普金斯大学課程信息
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完成時間大約為6 小時
英語（English）
字幕：阿拉伯語（Arabic）, 法語（French）, （歐洲人講的）葡萄牙語, 塞爾維亞語, 意大利語, 越南語, 德語（German）, 俄語（Russian）, 英語（English）, 西班牙語（Spanish）
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體驗 Coursera 企業版您將獲得的技能
- Bioinformatics
- Statistics
- Data Science
- Computational Biology
可靈活調整截止日期
根據您的日程表重置截止日期。
可分享的證書
完成後獲得證書
100% 在線
立即開始，按照自己的計劃學習。
完成時間大約為6 小時
英語（English）
字幕：阿拉伯語（Arabic）, 法語（French）, （歐洲人講的）葡萄牙語, 塞爾維亞語, 意大利語, 越南語, 德語（German）, 俄語（Russian）, 英語（English）, 西班牙語（Spanish）
對員工進行熱門技能培訓能否為您的公司帶來益處？
體驗 Coursera 企業版
提供方
约翰霍普金斯大学
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.
授課大綱 - 您將從這門課程中學到什麼
完成時間為 2 小時
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".
完成時間為 2 小時
8 個視頻 （總計 81 分鐘）, 2 個閱讀材料, 1 個測驗
完成時間為 1 小時
Measurement Technology
In this module, you'll learn about polymerase chain reaction, next generation sequencing, and applications of sequencing.
完成時間為 1 小時
3 個視頻 （總計 25 分鐘）
完成時間為 1 小時
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.
完成時間為 1 小時
6 個視頻 （總計 39 分鐘）
完成時間為 2 小時
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.
完成時間為 2 小時
10 個視頻 （總計 55 分鐘）, 2 個閱讀材料, 2 個測驗
審閱
- 5 stars65.97%
- 4 stars27.30%
- 3 stars5.27%
- 2 stars0.93%
- 1 star0.51%
來自基因组技术基础的熱門評論
由 KT 提供2019年11月16日
This course had gave me the overview of the statistical analyses for genomic data analysis. This is useful for me as I can employ those statistical Analyses knowledge in the near future
由 BS 提供2016年9月1日
The final project was way more work than any of the other weeks (10 hours!), but it was definitely worth stumbling my way around Galaxy and foreign genomic terms for that long.
由 SS 提供2020年5月27日
It was well taught. I liked the fact the two professors focused on two different subjects- biology and statistics portion of this course. The paragraphs written below each video was extremely helpful.
由 EO 提供2020年2月13日
Clear and concise. Ministered by researchers with outstanding background in research, able to translate topics of relatively high complexity into easy language for a broad audience.
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