Materials - TeSS Sandbox (Training eSupport System)

Please note: This instance is for testing/development, and any content submitted may be changed or deleted without warning.

Log In

About
Events
Materials
e-Learning
Workflows
Collections
Learning paths
Directory
- Trainers
- Providers
- Nodes

TeSS makes use of some necessary cookies to provide its core functionality.

See our Privacy Policy for more information.

You can modify your cookie preferences at any time here, or from the link in the footer.

Allow necessary cookies

Home
Materials

Filter

Sort

Filter Clear filters
- Tool
- Galaxy3
- BWA1
- Bwa-mem21
- MultiQC1
- SAMtools1
- SRA Software Toolkit1
- bx-python1
- fastp1
- ggplot21
- lofreq1
- snpEff1
- Show N_FILTERS more
- Content provider
- Galaxy Training5
- Show N_FILTERS more
- Difficulty level
- Beginner5
- Show N_FILTERS more
- Target audience
- Students5
- Show N_FILTERS more
- Resource type
- e-learning3
- slides2
- Show N_FILTERS more
- Related resource
- Associated Training Datasets3
- Associated Workflows3
- Quarto/RMarkdown Notebook2
- Show N_FILTERS more
Show disabled materials
Show archived materials
- Date added
- In the last 24 hours
- In the last 1 week
- In the last 1 month

Training materials

Subscribe via email

Email Subscription

Frequency

Register training material

Keywords: Introduction to Galaxy Analyses

and Authors: Dave Clements

5 materials found

e-learning

NGS data logistics

• beginner
Introduction to Galaxy Analyses
slides

Introduction to Galaxy

• beginner
Introduction to Galaxy Analyses
slides

Options for using Galaxy

• beginner
Introduction to Galaxy Analyses
e-learning

Introduction to Genomics and Galaxy

• beginner
Introduction to Galaxy Analyses
e-learning

Galaxy Basics for everyone

• beginner
Introduction to Galaxy Analyses

contact@example.com

Contribute

About TeSS

Funding & acknowledgements

Privacy

Cookie preferences

Version: 1.5.0

Source code

API documentation

Bioschemas testing tool

TeSS has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 676559.