Genomic Data Science Capstone

Genomic Data Science Capstone

课程
en
英语
20 时
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  • 来自www.coursera.org
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  • 10 序列
  • 等级 介绍

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课程详情

教学大纲

  • Week 1 - Introduction
    In this first week, we'll introduce the project and get you oriented to the tasks that you'll be performing over the next several weeks.
  • Week 2 - Introduction to the Dataset - Andrew Jaffe
    This week, we'll really dig into the dataset by providing an introduction from Andrew Jaffe, the lead scientist on the analysis. You should also be looking ahead to Task 2, which is due in Week 4; the alignment will take a long time to perform, so you should s...
  • Week 3 - Understand the Problem
    The purpose of genomic data science is to answer fundamental questions in biology. Before starting on the data analysis process, the first step is always to understand the scientific question you are trying to answer. Don't forget to stay on top of the alignme...
  • Week 4 - Alignment
    Once you have understood the problem, the next step is to obtain the raw data so that you can perform your analysis.
  • Week 5 - QC the Alignment
    Now you have aligned the data, the next step is to do some quality control to make sure that the data are in good shape.
  • Week 6 - Get Feature Counts
    Now that you have performed alignment and quality control, the next step is to calculate the abundance of every gene in every sample.
  • Week 7 - Exploratory Analysis
    After summarizing your genomic data the next step is to load the data into R for analysis with Bioconductor.
  • Week 8 - Statistical Analysis
    The next step is to perform a statistical analysis to detect genes that are differentially expressed.
  • Week 9 - Gene Set Analysis
    In task 6, we have identified genes differentially expressed between fetal and adult brain. Now we will examine these results in a wider context.
  • Week 10 - Describe Your Analysis
    The next step is to document your work. One of the major issues in genomic data science is that there are so many steps in the process. If these steps are not documented well the result can be major problems.

先决条件

没有。

讲师

Jeff Leek, PhD
Associate Professor, Biostatistics
Bloomberg School of Public Health

Kasper Daniel Hansen, PhD
Assistant Professor, Biostatistics and Genetic Medicine
Bloomberg School of Public Health

编辑

约翰霍普金斯大学(JHU)是一所美国私立大学,位于马里兰州巴尔的摩市。它在华盛顿特区、意大利博洛尼亚、新加坡和中国南京也设有校区。约翰-霍普金斯大学的名字源于一位富有的企业家约翰-霍普金斯,他在去世时将 700 万美元遗赠给了这所大学。

约翰霍普金斯大学是美国最负盛名的大学之一(尤其是其医学和公共卫生学院以及国际事务学院),它将自己定义为美国领先的 "研究型大学"。建校之初,它主要受到海德堡大学和威廉-冯-洪堡德国教育模式的启发。2019 年,有 39 位诺贝尔奖获得者的名字与这所大学有关2。

平台

Coursera是一家数字公司,提供由位于加利福尼亚州山景城的计算机教师Andrew Ng和达芙妮科勒斯坦福大学创建的大型开放式在线课程。

Coursera与顶尖大学和组织合作,在线提供一些课程,并提供许多科目的课程,包括:物理,工程,人文,医学,生物学,社会科学,数学,商业,计算机科学,数字营销,数据科学 和其他科目。

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