Acerca de este curso: In this culminating project, you will deploy the tools and techniques that you've mastered over the course of the specialization. You'll work with a real data set to perform analyses and prepare a report of your findings.
Creada por: Johns Hopkins University
Enseñado por: Jeff Leek, PhD, Associate Professor, Biostatistics
Bloomberg School of Public Health
Enseñado por: Kasper Daniel Hansen, PhD, Assistant Professor, Biostatistics and Genetic Medicine
Bloomberg School of Public Health
| Información básica | Curso 8 de 8 en Genomic Data Science Specialization |
| Compromiso | 8 weeks of study, 2-4 hours/week |
| Idioma | English |
| Cómo aprobar | Aprueba todas las tareas calificadas para completar el curso. |
| Calificaciones del usuario |
Programa
SEMANA 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.
1 video, 6 lecturas
- Reading: Welcome
- Reading: The big question
- Reading: What you will be doing in this capstone project
- Reading: Passing the Capstone
- Reading: Why re-analysis?
- Reading: Why is this so hard?
SEMANA 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 start early.
1 video, 3 lecturas
- Reading: Phenotype information
- Reading: Getting the data from SRA
- Reading: Which samples to use
SEMANA 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 alignment task due in Week 4; it will take a long time to accomplish and shouldn't be put off.
1 video, 1 lectura
- Reading: Task 1 Instructions
- Discussion Prompt: What did you find challenging about task 1?
Calificado: Understand the problem
SEMANA 4
Alignment
Once you have understood the problem, the next step is to obtain the raw data so that you can perform your analysis.
2 artículos
- Discussion Prompt: What did you find challenging about task 2?
Calificado: Alignment
SEMANA 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.
2 artículos
- Discussion Prompt: What did you find challenging about task 3?
Calificado: QC the Alignment
SEMANA 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.
2 artículos
- Discussion Prompt: What did you find challenging about task 4?
Calificado: Get Feature Counts
SEMANA 7
Exploratory Analysis
After summarizing your genomic data the next step is to load the data into R for analysis with Bioconductor.
2 artículos
- Discussion Prompt: What did you find challenging about task 5?
Calificado: Exploratory Analysis
SEMANA 8
Statistical Analysis
The next step is to perform a statistical analysis to detect genes that are differentially expressed.
2 artículos
- Discussion Prompt: What did you find challenging about task 6?
Calificado: Statistical Analysis
SEMANA 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.
3 artículos
- Discussion Prompt: What did you find challenging about task 7?
- Peer Review: Optional Peer Review of Your Report Draft
Calificado: Gene Set Analysis
SEMANA 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.
2 artículos
- Discussion Prompt: What did you find challenging about task 8?
Calificado: Describe Your Analysis
Preguntas Frecuentes
Cómo funciona
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Creadores
Johns Hopkins University
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.
Tarifa
| Comprar curso | |
|---|---|
| Accede a los materiales del curso | Disponible |
| Accede a los materiales con calificación | Disponible |
| Recibe una calificación final | Disponible |
| Obtén un Certificado de curso para compartir | Disponible |
Calificaciones y revisiones
good way of wrapping up everything we learned in the specialization :)
Quite time demanding when genomics is not your primary field, but I have learnt so much!
Really practical project in the genomics field!
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Good application of the learnt techniques.