With genomics sparks a revolution in medical discoveries, it becomes imperative to be able to better understand the genome, and be able to leverage the data and information from genomic datasets. Genomic Data Science is the field that applies statistics and data science to the genome.
基因组数据科学 專項課程
Be a next generation sequencing data scientist.. Master the tools and techniques at the forefront of the sequencing data revolution.
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您將學到的內容有
Next generation sequencing experiments
Genomic technologies
DNA, RNA and epigenetic patterns
Genome analysis
您將獲得的技能
BioconductorBiopythonPython ProgrammingR ProgrammingGalaxy
可分享的證書
完成後獲得證書
100% 在線課程
立即開始，按照自己的計劃學習。
靈活的計劃
設置並保持靈活的截止日期。
中級
完成時間大約為6 個月
建議 8 小時/週
英語（English）
字幕：英語（English）, 阿拉伯語（Arabic）
專項課程的運作方式
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實踐項目
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此專項課程包含 8 門課程
基因组技术基础
2,029 個評分
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.
使用 Galaxy 软件进行基因组数据分析
627 個評分
Learn to use the tools that are available from the Galaxy Project. This is the second course in the Genomic Big Data Science Specialization.
基因组数据科学中的 Python 应用
819 個評分
This class provides an introduction to the Python programming language and the iPython notebook. This is the third course in the Genomic Big Data Science Specialization from Johns Hopkins University.
DNA测序算法
478 個評分
We will learn computational methods -- algorithms and data structures -- for analyzing DNA sequencing data. We will learn a little about DNA, genomics, and how DNA sequencing is used. We will use Python to implement key algorithms and data structures and to analyze real genomes and DNA sequencing datasets.
行業合作夥伴
關於 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.
審閱
4.3
來自基因组数据科学的熱門評論
由 SM 提供Sep 7, 2019
This course is very well suitable for beginners. I am eagerly waiting to start the next course of the specialization for deeper understanding. Although, this course was very informative.
由 AL 提供Jul 6, 2019
This is the best course so far in this specialization. I enjoyed the way both instructors explained the concepts using simple analogies. It was a really productive month for me!
由 GH 提供Jun 24, 2017
This course lays out the foundation for the rest of the Specialization. The course feels a little light on content but the concepts it does cover are well described.
由 AF 提供Jan 14, 2017
A thorough, yet concise introduction to the specialization and to some of the technical difficulties associate with genomic technologies. Thank you!
由 MH 提供Aug 22, 2019
A very concise but comprehensive overview of what to expect in the Genomic Data Science specialization course.
由 LC 提供Feb 12, 2017
Excellent set of assignments to apply multiple tools used in the specialization!
由 AB 提供Jan 6, 2018
I thoroughly enjoyed this course and look forward to complete the specialization
由 FR 提供Jan 10, 2018
good way of wrapping up everything we learned in the specialization :)
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有助学金吗？
我可以免费学习课程吗？
此课程是 100% 在线学习吗？是否需要现场参加课程？
此课程完全在线学习，无需到教室现场上课。您可以通过网络或移动设备随时随地访问课程视频、阅读材料和作业。
完成专项课程需要多长时间？
Time to completion can vary based on your schedule, but most learners are able to complete the Specialization in 6-9 months.
此专项课程中每门课程的开课频率为多久？
Each course in the specialization is offered monthly.
What background knowledge is necessary?
Some background in statistics, computer science, and biology is helpful but not required.
Do I need to take the courses in a specific order?
The sequence shown above is strongly recommended.
完成专项课程后我会获得大学学分吗？
No, you will not earn credit at Johns Hopkins University by completing this specialization.
What will I be able to do upon completing the Specialization?
Upon completion, you will be able to use a variety of tools to conduct analysis of data generated by next generation sequencing experiments.
When will I be able to enroll?
Pre-enrollment will be available on January 11, 2016.
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