Genomic Data Science with Galaxy

Parte de la Genomic Data Science Specialization »

Learn to use the tools that are available from the Galaxy Project. This is the second course in the Genomic Big Data Science Specialization.

Sesiones

1 de jun. de 2015 - jun. 27º 2015 6 de jul. de 2015 - ago. 1º 2015 3 de ago. de 2015 - ago. 29º 2015 7 de sep. de 2015 - oct. 3º 2015 5 de oct. de 2015 - oct. 31º 2015 2 de nov. de 2015 - nov. 28º 2015 7 de dic. de 2015 - ene. 2º 2016 Futuras sesiones

Disponible con

Genomic Data Science Specialization

Certificado Verificado

Un vistazo al curso

Instructores

Categorías

Ciencias de la Computación: Teoría

Salud y sociedad

Biología y Ciencias Naturales

Análisis de Datos y Estadística

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Acerca del curso

The Galaxy Project (http://galaxyproject.org/) provides user friendly software for producing reproducible genomic pipelines for data analysis. This class will introduce the Galaxy Software system all the way from getting an account to building, running, and sharing a reproducible analysis pipeline.

Programa del curso

1. The challenge of reproducibility

2. Introduction to the Galaxy platform

3. Working with genomic Intervals

4. Galaxy Workflows

5. Annotation, Sharing, Publishing

6. Sequence Data Quality Control

7. ChIP-seq analysis with MACS

8. RNA-seq mapping and 9. assembly

9. Galaxy on the cloud

10. Installing your own Galaxy

Preparación previa recomendada

Prerequisite: Introduction to Sequencing Technologies

The target audience of this course are individuals in the molecular or computational sciences who want how to learn how to perform basic computational biology. This class is “hands on” and designed to get you started with the tools you need to perform Genomic Data Science.

Formato del curso

No more than 2 hours of video lectures, weekly quizzes, and course project.

Preguntas frecuentes

Do I need any special materials to take this course?

No, you only need a computer.

Do I have to take this course before taking any of the other courses in the Genomic Big Data Science Specialization?

You are strongly encourage to take this course second. It introduces tools and concepts that you will be using in subsequent courses.