ATGCCGGAATTGGCACATAACAAGTACTGCCTCGGTCCTTAAGCTGTATTGCACCATATGACGGATGCCGGAATTGGCACATAACAAGTAC
TGCCTCGGTCCTTAAGCTGTATTGCACCATATGACGGATGCCGGAATTGGCACATAACAACGGTCCTTAAGCTGTATTGCACCATATGACG
GATGCCGGAATTGGCACATAACAAGTACTGCCTCGGTCCTTAAGCTGTATTTCGGTCCTTAAGCTGTATTCCTTAACAACGGTCCTTAAGG
ATGCCGGAATTGGCACATAACAAGTACTGCCTCGGTCCTTAAGCTGTATTGCACCATATGACGGATGCCGGAATTGGCACATAACAAGTAC
TGCCTCGGTCCTTAAGCTGTATTGCACCATATGACGGATGCCGGAATTGGCACATAACAACGGTCCTTAAGCTGTATTGCACCATATGACG
GATGCCGGAATTGGCACATAACAAGTACTGCCTCGGTCCTTAAGCTGTATTTCGGTCCTTAAGCTGTATTCCTTAACAACGGTCCTTAAGG
Galaxy Introduction for Life Scientists
14 April 2021
For-profit: 300 CHF
We are sorry but this course is oversubscribed, with a long waiting list. The course will be streamed only for registered participants. Registered participants will receive information from the course organizer in due time.
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, you are thus required to have your own computer with an Internet connection.
Application
We are sorry but this course is oversubscribed, with a long waiting list.
Registration fees are 60 CHF for academics and 300 CHF for for-profit companies.
You will be informed by email of your registration confirmation. Upon reception of the confirmation email, participants will be asked to confirm attendance by paying the fees within 5 days.
Applications will close as soon as the places will be filled up. Deadline for free-of-charge cancellation is set to 14/04/2021. Cancellation after this date will not be reimbursed. Please note that participation in SIB courses is subject to our general conditions.
Venue and Time
This course will be streamed using Zoom.
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, SIB training group.
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.