Organizer: de.NBI

Start: Sunday, 21 July 2019 @ 09:00

End: Friday, 26 July 2019 @ 17:00

Venue: Brixen

City: Brixen

County: Südtirol

Country: Italy

Description:

Educators:
Wolfgang Huber, Mike Smith, Vincent J. Carey, Laurent Gatto, Robert Gentleman, Martin Morgan, Johannes Rainer, Lori Shepherd, Charlotte Soneson, Levi Waldron Simone Bell (HD-HuB)

Date:
21 to 26 July 2019

Location:
Brixen, Italy

Contents:
The one-week intensive course Statistical Data Analysis for Genome-Scale Biology teaches statistical and computational analysis of multi-omics studies in biology and biomedicine. It covers the underlying theory and state of the art (the morning lectures) and practical hands-on exercises based on the R / Bioconductor environment (the afternoon labs).

Learning goals:
At the end of the course, you should be able to run analysis workflows on your own (multi-)omic data, adapt and combine different tools, and make informed and scientifically sound choices about analysis strategies.

Prerequisites:
The course is intended researchers who have basic familiarity with the experimental technologies and their applications in biology, and who are interested in making the step from a user of bioinformatics software towards adapting or developing their own analysis workflows.

Keywords:
Statistics, biology, RNASeq, Bioconductor, R, RStudio human genetics.

Tools:
R / Bioconductor

Event type:
  • Workshops and courses
CSAMA 2019 - Statistical Data Analysis for Genome-Scale Biology https://tess.elixir-europe.org/events/csama-2019-statistical-data-analysis-for-genome-scale-biology Educators: Wolfgang Huber, Mike Smith, Vincent J. Carey, Laurent Gatto, Robert Gentleman, Martin Morgan, Johannes Rainer, Lori Shepherd, Charlotte Soneson, Levi Waldron Simone Bell (HD-HuB) Date: 21 to 26 July 2019 Location: Brixen, Italy Contents: The one-week intensive course Statistical Data Analysis for Genome-Scale Biology teaches statistical and computational analysis of multi-omics studies in biology and biomedicine. It covers the underlying theory and state of the art (the morning lectures) and practical hands-on exercises based on the R / Bioconductor environment (the afternoon labs). Learning goals: At the end of the course, you should be able to run analysis workflows on your own (multi-)omic data, adapt and combine different tools, and make informed and scientifically sound choices about analysis strategies. Prerequisites: The course is intended researchers who have basic familiarity with the experimental technologies and their applications in biology, and who are interested in making the step from a user of bioinformatics software towards adapting or developing their own analysis workflows. Keywords: Statistics, biology, RNASeq, Bioconductor, R, RStudio human genetics. Tools: R / Bioconductor 2019-07-21 09:00:00 UTC 2019-07-26 17:00:00 UTC de.NBI Brixen, Brixen, Italy Brixen Brixen Südtirol Italy [] [] [] workshops_and_courses [] []