課程信息
19,302 次近期查看

第 2 門課程(共 8 門)

100% 在線

立即開始,按照自己的計劃學習。

可靈活調整截止日期

根據您的日程表重置截止日期。

完成時間大約為12 小時

英語(English)

字幕:英語(English)

您將獲得的技能

BioinformaticsData AnalysisGenomeGenomics

第 2 門課程(共 8 門)

100% 在線

立即開始,按照自己的計劃學習。

可靈活調整截止日期

根據您的日程表重置截止日期。

完成時間大約為12 小時

英語(English)

字幕:英語(English)

教學大綱 - 您將從這門課程中學到什麼

1
完成時間為 1 小時

Introduction

2 個視頻 (總計 13 分鐘), 4 個閱讀材料, 1 個測驗
2 個視頻
Introduction to the Galaxy Platform5分鐘
4 個閱讀材料
Welcome10分鐘
Syllabus10分鐘
Pre-Course Survey10分鐘
A Note about AWS10分鐘
1 個練習
Module 1 Quiz22分鐘
2
完成時間為 2 小時

Galaxy 101

3 個視頻 (總計 42 分鐘), 1 個測驗
3 個視頻
Galaxy 101: Workflows12分鐘
Annotation, Sharing, and Publishing13分鐘
1 個練習
Module 2 Quiz56分鐘
3
完成時間為 1 小時

Working with sequence data

2 個視頻 (總計 25 分鐘), 1 個測驗
2 個視頻
ChIP-Sequence Analysis with MACS14分鐘
1 個練習
Module 3 Quiz18分鐘
4
完成時間為 4 小時

RNA-seq & Running your own Galaxy

4 個視頻 (總計 49 分鐘), 2 個閱讀材料, 3 個測驗
4 個視頻
RNA Sequence Analysis: Assembly Quantitation, and Differential Expression12分鐘
Installing Galaxy Locally8分鐘
Galaxy on the Cloud19分鐘
2 個閱讀材料
TopHat availability10分鐘
Post-Course Survey10分鐘
2 個練習
Module 4 Quiz22分鐘
Module 5 Quiz20分鐘
3.7
149 個審閱Chevron Right

50%

完成這些課程後已開始新的職業生涯

25%

通過此課程獲得實實在在的工作福利

來自使用 Galaxy 软件进行基因组数据分析的熱門評論

創建者 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.

創建者 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.

講師

Avatar

James Taylor, PhD

Associate Professor of Biology and Computer Science

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....

關於 基因组数据科学 專項課程

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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