Epigenomics Workshop in Berlin (28th May-1st June 2018)

[Physalia-courses]

EPIGENOMICS WORKSHOP

Berlin, 28th May- 1st June 2018

Instructors:

Dr. Federico Comoglio ( Division of Gene Regulation, Netherlands Cancer Institute)

Dr. Iros Barozzi (Imperial College London (UK))

Overview

This course will introduce researchers and technical workers to the bioinformatic analysis of large epigenomic data sets obtained using Next-Generation Sequencing (NGS) technologies, with a focus on ChIP-seq, RNA-seq and DNase-seq / ATAC-seq. The course will cover the theoretical foundations of the most widely adopted algorithms and analysis pipelines, a targeted introduction to scripting in bash and R/BioConductor, and extensive hands-on tutorials using publicly available NGS data sets. At the end of this course, the students should be able to efficiently analyze their own data and identify common pitfalls of genomics data analyses.

For more information about the Workshop, please visit our website:

https://www.physalia-courses.org/courses-workshops/course31/

[Physalia-courses]

Dear all,

The registration deadline is soon approaching (26th April 2018) and we still some spots available for the course "Epigenomic Data Analysis" which will be held in Berlin from the 28th of May to the 01st of June 2018.

Instructors:

Dr. Federico Comoglio (Cambridge Institute for Medical Research (UK))

Dr. Iros Barozzi (Imperial College London (UK))

Overview

This course will introduce researchers and technical workers to the bioinformatic analysis of large epigenomic data sets obtained using Next-Generation Sequencing (NGS) technologies, with a focus on ChIP-seq, RNA-seq and DNase-seq / ATAC-seq. The course will cover the theoretical foundations of the most widely adopted algorithms and analysis pipelines, a targeted introduction to scripting in bash and R/BioConductor, and extensive hands-on tutorials using publicly available NGS data sets. At the end of this course, the students should be able to efficiently analyze their own data and identify common pitfalls of genomics data analyses.

For more information about the course, please visit our website

https://www.physalia-courses.org/courses-workshops/course31/

Here is the full list of our courses and Workshops

https://www.physalia-courses.org/courses-workshops/