课程信息
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第 2 门课程(共 8 门)

100% 在线

立即开始,按照自己的计划学习。

可灵活调整截止日期

根据您的日程表重置截止日期。

完成时间大约为12 小时

英语(English)

字幕:英语(English)

您将获得的技能

BioinformaticsData AnalysisGenomeGenomics

第 2 门课程(共 8 门)

100% 在线

立即开始,按照自己的计划学习。

可灵活调整截止日期

根据您的日程表重置截止日期。

完成时间大约为12 小时

英语(English)

字幕:英语(English)

教学大纲 - 您将从这门课程中学到什么

1
完成时间为 1 小时

Introduction

2 个视频 (总计 13 分钟), 4 个阅读材料, 1 个测验
2 个视频
Introduction to the Galaxy Platform5分钟
4 个阅读材料
Welcome10分钟
Syllabus10分钟
Pre-Course Survey10分钟
A Note about AWS10分钟
1 个练习
Module 1 Quiz22分钟
2
完成时间为 2 小时

Galaxy 101

3 个视频 (总计 42 分钟), 1 个测验
3 个视频
Galaxy 101: Workflows12分钟
Annotation, Sharing, and Publishing13分钟
1 个练习
Module 2 Quiz56分钟
3
完成时间为 1 小时

Working with sequence data

2 个视频 (总计 25 分钟), 1 个测验
2 个视频
ChIP-Sequence Analysis with MACS14分钟
1 个练习
Module 3 Quiz18分钟
4
完成时间为 4 小时

RNA-seq & Running your own Galaxy

4 个视频 (总计 49 分钟), 2 个阅读材料, 3 个测验
4 个视频
RNA Sequence Analysis: Assembly Quantitation, and Differential Expression12分钟
Installing Galaxy Locally8分钟
Galaxy on the Cloud19分钟
2 个阅读材料
TopHat availability10分钟
Post-Course Survey10分钟
2 个练习
Module 4 Quiz22分钟
Module 5 Quiz20分钟
3.7
155 个审阅Chevron Right

25%

完成这些课程后已开始新的职业生涯

17%

通过此课程获得实实在在的工作福利

来自使用 Galaxy 软件进行基因组数据分析的热门评论

创建者 GKSep 6th 2018

This was a lot of work and rewarding to complete. The final project was challenging and the forum contributors helped a lot in pointing out good resources or strategies they had used.

创建者 BGFeb 3rd 2018

Great Course if you are interested in dissecting the genome. Galaxy opens up this invisible world and allows even us little people to explore the world once reserved to only Academia.

讲师

Avatar

James Taylor, PhD

Associate Professor of Biology and Computer Science

关于 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....

关于 基因组数据科学 专项课程

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. 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, along with a variety of software implementation tools like Python, R, Bioconductor, and Galaxy. This Specialization is designed to serve as both a standalone introduction to genomic data science or as a perfect compliment to a primary degree or postdoc in biology, molecular biology, or genetics, for scientists in these fields seeking to gain familiarity in data science and statistical tools to better interact with the data in their everyday work. To audit Genomic Data Science courses for free, visit https://www.coursera.org/jhu, click the course, click Enroll, and select Audit. Please note that you will not receive a Certificate of Completion if you choose to Audit....
基因组数据科学

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