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Genomic Data Science Capstone
МООК
en
Английский
20 h
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- Self-paced
- Free Access
- Fee-based Certificate
- 10 Sequences
- Introductive Level
Course details
Syllabus
- 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.
Prerequisite
None.
Instructors
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
Editor
L’université Johns-Hopkins (Johns Hopkins University, ou JHU) est une université privée américaine, située à Baltimore dans le Maryland. Elle possède également des campus à Washington, à Bologne en Italie, à Singapour et à Nankin en Chine. Elle doit son nom à Johns Hopkins, un entrepreneur fortuné qui a légué à sa mort 7 millions de dollars à l'université.
Comptant parmi les universités les plus prestigieuses des États-Unis (surtout pour ses facultés de médecine et de santé publique, ainsi que pour son école d'affaires internationales), l'institution se définit comme la première « université de recherche » du pays. Au début de son histoire, elle s'est principalement inspirée de l'université de Heidelberg et du modèle d'instruction allemand de Wilhelm von Humboldt. En 2019, 39 lauréats du prix Nobel ont leur nom associé à l'université.
Platform
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