Galaxy Introduction for Life Scientists

We are sorry but this course is oversubscribed, with a long waiting list.

Overview

Galaxy is an open, web-based platform for accessible, reproducible, and transparent computational biomedical research. Galaxy gives you access to thousands of tools. For example, you can run a complete NGS analysis from fastq files to publication-ready figures using only your web browser.

This course will give a general introduction on the galaxy web-page structure, how to import data, run tools, and share analyses. Participants will run a whole NGS analysis using an ATAC-seq dataset as an example.

Audience

This course is targeted to any life scientist who wants to learn more about the web-based Galaxy platform and would like to discover its potential to analyze NGS data.

Learning objectives

After the course, participants should be able to use a public Galaxy server for their research and be able to:

• reproduce and share an analysis in Galaxy
• run tools such as FastQC, bowtie2 and macs2
• understand their outputs
• interpret the biological results obtained with Galaxy

Prerequisites

Knowledge / competencies

No command line experience or programming knowledge is required. However, familiarity with NGS and genomic data is highly recommended.

Technical

This course will be streamed via Zoom, you are thus required to have your own computer with an internet connection, Zoom installed and Firefox, Chrome, or Safari web browser installed.

Application

We are sorry but this course is oversubscribed, with a long waiting list.

Attendance to lectures are free-of-charge, however registration is mandatory.

You will be informed by email of your registration confirmation.

Venue and Time

This course will be streamed to registered participants, and more information will be sent in due time.

The course will start at 9:00 CET and end around 17:00 CET. Precise information will be provided to the participants in due time.

Additional information

Trainers: Lucille Delisle (EPFL) and Hans-Rudolf Hotz (FMI, SIB)

Coordination: Monique Zahn

We will recommend 0.25 ECTS credits for this course (given a passed exam at the end of the course).

You are welcome to register to the SIB courses mailing list to be informed of all future courses and workshops, as well as all important deadlines using the form here.

SIB abides by the ELIXIR Code of Conduct. Participants of SIB courses are also required to abide by the same code.

For more information, please contact training@sib.swiss.