GTN Metadata
Overview
Questions:Objectives:
What metadata is required or possible to set in a Tutorial, Slide, Topic, or FAQ
Know where to find all of the available metadata, so you can reference it later.
Time estimation: 10 minutesSupporting Materials:Last modification: May 20, 2022
A dictionary/map
Tutorial Schema
Free Text
layout
required
This must be set to
tutorial_hands_on
Possible Values:
tutorial_hands_on
Example(s)
layout: "tutorial_hands_on"
Free Text
title
required
Title of the tutorial (it will appear on the tutorial page and the topic page)
Example(s)
title: Clustering in Machine Learning
title: Breve introducción a Galaxy - en español
title: Pangeo ecosystem 101 for everyone - Introduction to Xarray Galaxy Tools
A dictionary/map
contributions
required
List of tutorial contributors. Here we break them down into several broad categories to help contributors identify how they contributed to a specific tutorial.
Example(s)
contributions: authorship: - shiltemann - bebatut editing: - hexylena - bebatut - natefoo testing: - bebatut infrastructure: - natefoo funding: - erasmusplus
List of Items
authorship
These entities wrote the bulk of the training material, they may have done the analysis, built the workflow, and wrote the text themselves.
List of Items
editing
These entities edited the text, either for spelling and grammar, flow, GTN-fit, or other similar editing categories
List of Items
funding
These entities provided funding support for the development of this resource
List of Items
infrastructure
These entities managed and provided infrastructure to the GTN or for training purposes
List of Items
testing
These entities tested the tutorial to ensure it works correctly for students, or reported issues with the tutorial.
List of Items
ux
These entities contributed UX or Design improvements to this tutorial or the GTN as a whole
Free Text
time_estimation
required
An estimation of the time needed to complete the hands-on.
Example(s)
time_estimation: 10M
time_estimation: 1H30M
Required Pattern: Must match the following regular expression
/^(?:([0-9]*)[Hh])*(?:([0-9]*)[Mm])*(?:([0-9.]*)[Ss])*$/
A dictionary/map
abbreviations
A dictionary of abbreviations and their expansions.
Example(s)
abbreviations: SQL: Structured Query Language API: Application Programming Interface
Any key permitted
Free Text
The expansion of the abbreviated term.
List of Items
contributors
List of tutorial contributors. Please use
contributions
instead as it provides more detailed accounting of tutorial history.Example(s)
contributors: - hexylena - shiltemann
Free Text
edam_ontology
An edam ontology id that describes the topic or tutorial.
Example(s)
edam_ontology: topic_3173
Required Pattern: Must match the following regular expression
/^topic_[0-9]+$/
Boolean
enable
false
to hide your tutorial from the topic page (optional). This is useful if you need a tutorial for a workshop, but have not finished making it up to GTN standards.List of Items
follow_up_training
list of resources that the reader of the material could follow at the end of the tutorial
Example(s)
follow_up_training: - type: internal topic_name: statistics tutorials: - age-prediction-with-ml - type: external title: The Unix Shell link: "http://swcarpentry.github.io/shell-novice/" - type: none title: "A VM with at least 2 vCPUs and 4 GB RAM, preferably running Ubuntu 18.04 - 20.04."
A dictionary/map
Sequence Value
required
Free Text
type
required
the type of link
Possible Values:
internal
external
none
Example(s)
type: "internal"
type: "external"
type: "none"
Free Text
link
URL of the external resource
Free Text
title
Title of the external resource
Free Text
topic_name
[Internal Only] The name of the topic
List of Items
tutorials
[Internal Only] List of required tutorials inside that topic
Decimal Number
galaxy_version
Currently unused.
Free Text
gitter
Link to a gitter channel that is more relevant for the tutorial than the default. E.g. a single cell tutorial could use
Galaxy-Training-Network/galaxy-single-cell
to link to their specific chat room.Example(s)
gitter: Galaxy-Training-Network/galaxy-single-cell
gitter: galaxy-genome-annotation/Lobby
List of Items
key_points
List of take-home messages. This information will appear at the end of the tutorial. These should really be a key point, something that should stick in their mind; what you want them to take home from the tutorial.
Example(s)
key_points: - Pangeo ecosystem enables big data analysis in geosciences - The MiModD suite of tools bundles most of the functionality required to perform mapping-by-sequencing analyses with Galaxy - It can drastically simplify management of large numbers of VMs
Free Text
lang
The document language.
Possible Values:
es
en
Example(s)
lang: "es"
lang: "en"
Free Text
level
Here give a feeling of what level the material is at.
Possible Values:
Introductory
Intermediate
Advanced
Example(s)
level: "Introductory"
level: "Intermediate"
level: "Advanced"
Free Text
license
An SPDX identifier for the alternative license that is used for that particular material. This is only relevant for materials which have been imported from an external source and were originally licensed under another license. For new materials we strongly encourage contributors to not use this key as materials are CC-BY, by default.
Example(s)
license: MIT
A dictionary/map
notebook
Example(s)
notebook: language: python pyolite: true notebook: language: python snippet: topics/climate/tutorials/pangeo-notebook/preamble.md
Free Text
language
required
Possible Values:
python
bash
r
sql
Example(s)
language: "python"
language: "bash"
language: "r"
language: "sql"
Boolean
pyolite
The GTN has support for JupyterLite and the Pyodide kernel which runs Python in the browser via webassembly/javascript. This comes with some restrictions:
- Python only
- No filesystem access (so no
wget
prep steps)- Little to no cell magic
However, it means we can run a lot of our Python training directly in the GTN! And in the future, hopefully, we will be able to embed individual cells of the notebook directly in the Python training, so the user doesn’t even need to switch pages.
Enabling this field will enable pyolite links for this notebook.
Free Text
snippet
If you have an alternative preamble for your notebook that students should know before following (e.g. they must load X datasets in their history), it can be listed here.
This text will be shown in the GTN tutorial, but it will not be included in the notebook, giving you a bit better control over mixing setup content which is relevant for Galaxy, with notebook content that can be easy to run for students.
Example(s)
snippet: topics/climate/tutorials/pangeo-notebook/preamble.md
List of Items
objectives
list of learning objectives for the tutorial
A learning objective is a single sentence describing what a learner will be able to do once they have done the tutorial. Generally it is best to follow a 2C or 3C learning objective such as:
- Compute (Skill)
- multiple whole genome assemblies (Objective)
- in such a way to develop big data processing skills (Result)
Example(s)
objectives: - Understand the basic concepts behind phylogenetic trees, as applied to *Mycobacterium tuberculosis* - Explore Biodiversity data with taxonomic, temporal and geographical informations - Generate a DotPlot emulating the original paper using a different analysis tool
Integer Number
priority
This field allows ordering tutorials within the tutorial list. Tutorials with lower numbered priority come before tutorials with higher numbers.
Example(s)
List of Items
questions
list of questions that will be addressed in the tutorial
Example(s)
questions: - How does Genome assembly work? - How do I change Galaxy configs? - How to detect and quantify differentially abundant proteins in a HEK-Ecoli Benchmark DIA datatset? - What kinds of data do programs store?
List of Items
redirect_from
If a tutorial is renamed to a new location, use this field to list prior locations from which this tutorial was accessible.
Example(s)
redirect_from: - /topics/sequence-analysis/tutorials/de-novo-rad-seq/tutorial
List of Items
requirements
List of resources that the reader of the material should be familiar with before starting this training. The structure is identical to
follow_up_training
.Example(s)
requirements: - type: internal topic_name: statistics tutorials: - age-prediction-with-ml - type: external title: The Unix Shell link: "http://swcarpentry.github.io/shell-novice/" - type: none title: "A VM with at least 2 vCPUs and 4 GB RAM, preferably running Ubuntu 18.04 - 20.04."
A dictionary/map
Sequence Value
required
Free Text
type
required
the type of link
Possible Values:
internal
external
none
Example(s)
type: "internal"
type: "external"
type: "none"
Free Text
link
URL of the external resource
Free Text
title
Title of the external resource
Free Text
topic_name
[Internal Only] The name of the topic
List of Items
tutorials
[Internal Only] List of required tutorials inside that topic
Free Text
subtopic
if the topic has multiple subtopics defined, you can assign your tutorial to one of those subtopics here. Without this, the tutorial will appear in the “Other tutorials” section on the topic page.
Example(s)
subtopic: single-cell
List of Items
tags
A free form list of tags that are relevant for your tutorial.
Example(s)
tags: - covid-19 - git-gat
List of Items
translations
If alternative translations of a material are available, then use this key to indicate which languages have been manually translated.
Example(s)
translations: - en
A dictionary/map
voice
For materials which are automatically converted into videos via the available mechanisms, this field declares which voice should be used. If this field is not declared, a random voice will be chosen from a list of the best available voices from AWS Polly.
Example(s)
voice: id: Lupe lang: es-US neural: true
Free Text
id
required
Free Text
lang
required
Boolean
neural
required
Free Text
zenodo_link
link on Zenodo to the input data for the tutorial
Example(s)
zenodo_link: https://zenodo.org/record/3706539
A dictionary/map
Contributor Schema
Example(s)
hexylena: name: Helena twitter: hexylena bio: I wrote this documentation! I do super cool things.
Any key permitted
A dictionary/map
This ideally is your GitHub handle. If you do not have, or do not wish to provide a GitHub username, you may make up another identifier here, but then you must set
github: false
as described below.Free Text
name
required
Your preferred name. If you prefer an alias or another name, this is welcome, it does not need to be your legal name.
Example(s)
name: 张三
name: Alice
name: Jane Doe
name: Madame Tout-le-Monde
name: Γιάννης Παπαδόπουλος
Free Text
joined
required
The year and month in which you joined
Example(s)
joined: 2020-01
Required Pattern: Must match the following regular expression
/[0-9]{4,}-[0-9]{2}/
Free Text
avatar
Free Text
bio
A short biography of yourself, if you wish to add additional details or context.
Example(s)
bio: Research at the [South African National Bioinformatics Institute](https://www.sanbi.ac.za/)
Free Text
elixir_node
The 2 letter code identifying the ELIXIR node to which you are a member or are associated with. If you are from norway, you will need to quote your value,
"no"
, unlike everyone else, due to the Norway Problem with YAMLPossible Values:
au
be
ch
cz
de
dk
ee
es
fi
fr
gr
hu
ie
il
it
lu
nl
no
pt
se
si
uk
Example(s)
elixir_node: "au"
elixir_node: "be"
elixir_node: "ch"
elixir_node: "cz"
elixir_node: "de"
elixir_node: "dk"
elixir_node: "ee"
elixir_node: "es"
elixir_node: "fi"
elixir_node: "fr"
elixir_node: "gr"
elixir_node: "hu"
elixir_node: "ie"
elixir_node: "il"
elixir_node: "it"
elixir_node: "lu"
elixir_node: "nl"
elixir_node: "no"
elixir_node: "pt"
elixir_node: "se"
elixir_node: "si"
elixir_node: "uk"
Free Text
Your email address, if you wish to provide it.
Example(s)
email: jane.doe@gmail.com
Required Pattern: Must match the following regular expression
/@/
Boolean
funder
Set this to true if this entity is a funding agency.
Free Text
funding_id
The short identifier for your grant.
Example(s)
funding_id: 2020-1-NL01-KA203-064717
Free Text
funding_statement
A short statement about the funder, markdown is supported.
Example(s)
funding_statement: This project ([`2020-1-NL01-KA203-064717`](https://ec.europa.eu/programmes/erasmus-plus/projects/eplus-project-details/#project/2020-1-NL01-KA203-064717)) is funded with the support of the Erasmus+ programme of the European Union. Their funding has supported a large number of tutorials within the GTN across a wide array of topics.
Boolean
github
If your identifier in this file is not a GitHub account (or not your account), then this must be set to true, so we do not link to that account.
Free Text
gitter
Your gitter
Example(s)
gitter: hexylena
Required Pattern: Must match the following regular expression
/[0-9a-zA-Z]+/
Free Text
halloffame
Set this to
no
if you would like to be excluded from the hall of fame.Possible Values:
no
Example(s)
halloffame: "no"
Free Text
Required Pattern: Must match the following regular expression
/[0-9a-zA-Z]+/
Free Text
maintainer_contact
Preferred contact method
Free Text
matrix
Your matrix identifier
Example(s)
matrix: @hexylena:matrix.org
Required Pattern: Must match the following regular expression
/@[0-9a-zA-Z]+:.*/
Free Text
orcid
Your identifier at orcid.org
Example(s)
orcid: 0000-0001-9760-8992
Required Pattern: Must match the following regular expression
/[0-9A-Z]{4}-[0-9A-Z]{4}-[0-9A-Z]{4}-[0-9A-Z]{4}/
Free Text
Your twitter handle, without the
@
Example(s)
twitter: gxytraining
Required Pattern: Must match the following regular expression
/[0-9a-zA-Z]+/
A dictionary/map
Slides Schema
Free Text
layout
required
The layout to use. Generally you should use
tutorial_slides
and no other value.Possible Values:
base_slides
tutorial_slides
rdmbites_slides
Example(s)
layout: "base_slides"
layout: "tutorial_slides"
layout: "rdmbites_slides"
Free Text
title
required
Title of the slides (it will appear on the slides and the topic listing)
Example(s)
title: Introduction to CRISPR screen analysis
title: High Performance Computing for Pairwise Genome Comparison
title: Circos
A dictionary/map
contributions
required
List of slide contributors. Here we break them down into several broad categories to help contributors identify how they contributed to a specific tutorial.
Example(s)
contributions: authorship: - shiltemann - bebatut editing: - hexylena - bebatut - natefoo testing: - bebatut infrastructure: - natefoo funding: - erasmusplus
List of Items
authorship
These entities wrote the bulk of the training material, they may have done the analysis, built the workflow, and wrote the text themselves.
List of Items
editing
These entities edited the text, either for spelling and grammar, flow, GTN-fit, or other similar editing categories
List of Items
funding
These entities provided funding support for the development of this resource
List of Items
infrastructure
These entities managed and provided infrastructure to the GTN or for training purposes
List of Items
testing
These entities tested the tutorial to ensure it works correctly for students, or reported issues with the tutorial.
List of Items
ux
These entities contributed UX or Design improvements to this tutorial or the GTN as a whole
Free Text
logo
required
A logo identifier (e.g. GTN) should be used by default, but may be swapped out for special logos from the assets folder.
Example(s)
logo: GTN
logo: assets/images/gat.png
Free Text
class
A default CSS class applied to slides
List of Items
contributors
List of tutorial contributors. Please use
contributions
instead as it provides more detailed accounting of tutorial history.Example(s)
contributors: - hexylena - shiltemann
Free Text
edam_ontology
An edam ontology id that describes the tutorial.
Example(s)
edam_ontology: topic_3173
Required Pattern: Must match the following regular expression
/^topic_[0-9]+$/
Boolean
enable
false
to hide your tutorial from the topic page (optional). This is useful if you need a tutorial for a workshop, but have not finished making it up to GTN standards.List of Items
follow_up_training
list of resources that the reader of the material could follow at the end of the tutorial
Example(s)
follow_up_training: - type: internal topic_name: statistics tutorials: - age-prediction-with-ml - type: external title: The Unix Shell link: "http://swcarpentry.github.io/shell-novice/" - type: none title: "A VM with at least 2 vCPUs and 4 GB RAM, preferably running Ubuntu 18.04 - 20.04."
A dictionary/map
Sequence Value
required
Free Text
type
required
the type of link
Possible Values:
internal
external
none
Example(s)
type: "internal"
type: "external"
type: "none"
Free Text
link
URL of the external resource
Free Text
title
Title of the external resource
Free Text
topic_name
[Internal Only] The name of the topic
List of Items
tutorials
[Internal Only] List of required tutorials inside that topic
Free Text
hands_on
Possible Values:
external
Example(s)
hands_on: "external"
Free Text
hands_on_url
List of Items
key_points
List of take-home messages. This information will appear at the end of the slides. These should really be a key point, something that should stick in their mind; what you want them to take home from the slides.
Example(s)
key_points: - Pangeo is an inclusive community promoting open, reproducible and scalable science. - Balanced batches and replicates allow bioinformatic batch correction - Galaxy workflows can download images from the IDR, selecting specific channels, time points, z-stack positions and crop the image in different ways.
Free Text
lang
The document language.
Possible Values:
es
en
Example(s)
lang: "es"
lang: "en"
Free Text
level
Here give a feeling of what level the material is at.
Possible Values:
Introductory
Intermediate
Advanced
Example(s)
level: "Introductory"
level: "Intermediate"
level: "Advanced"
List of Items
objectives
list of learning objectives for the tutorial
A learning objective is a single sentence describing what a learner will be able to do once they have done the tutorial. Generally it is best to follow a 2C or 3C learning objective such as:
- Compute (Skill)
- multiple whole genome assemblies (Objective)
- in such a way to develop big data processing skills (Result)
Example(s)
objectives: - Understand the basic concepts behind phylogenetic trees, as applied to *Mycobacterium tuberculosis* - Explore Biodiversity data with taxonomic, temporal and geographical informations - Generate a DotPlot emulating the original paper using a different analysis tool
Integer Number
priority
This field allows ordering resources within the topic list. Learning resources with lower numbered priority come before those with higher numbers.
Example(s)
List of Items
questions
list of questions that will be addressed in the slides
Example(s)
questions: - What is ATAC-Seq? - What are Galaxy Interactive Environments (GIEs)? - How to visualize your genome after automated annotations have been performed?
List of Items
redirect_from
If a tutorial is renamed to a new location, use this field to list prior locations from which this tutorial was accessible.
Example(s)
redirect_from: - /topics/sequence-analysis/tutorials/de-novo-rad-seq/tutorial
List of Items
requirements
List of resources that the reader of the material should be familiar with before starting this training. The structure is identical to
follow_up_training
.Example(s)
requirements: - type: internal topic_name: statistics tutorials: - age-prediction-with-ml - type: external title: The Unix Shell link: "http://swcarpentry.github.io/shell-novice/" - type: none title: "A VM with at least 2 vCPUs and 4 GB RAM, preferably running Ubuntu 18.04 - 20.04."
A dictionary/map
Sequence Value
required
Free Text
type
required
the type of link
Possible Values:
internal
external
none
Example(s)
type: "internal"
type: "external"
type: "none"
Free Text
link
URL of the external resource
Free Text
title
Title of the external resource
Free Text
topic_name
[Internal Only] The name of the topic
List of Items
tutorials
[Internal Only] List of required tutorials inside that topic
Free Text
subtopic
if the topic has multiple subtopics defined, you can assign your tutorial to one of those subtopics here. Without this, the tutorial will appear in the “Other tutorials” section on the topic page.
Example(s)
subtopic: single-cell
List of Items
tags
A free form list of tags that are relevant for your tutorial.
Example(s)
tags: - covid-19 - git-gat
Free Text
time_estimation
An estimation of the time needed to complete the hands-on. It should look like 10M or 1H30M
Required Pattern: Must match the following regular expression
/^(?:([0-9]*)[Hh])*(?:([0-9]*)[Mm])*(?:([0-9.]*)[Ss])*$/
List of Items
translations
If alternative translations of a material are available, then use this key to indicate which languages have been manually translated.
Example(s)
translations: - en
Boolean
video
This enables automatic slide-to-video conversion. See the documentation of that feature for more information about this feature. If enabled, you must provide good speaker notes for every single slide.
A dictionary/map
voice
For materials which are automatically converted into videos via the available mechanisms, this field declares which voice should be used. If this field is not declared, a random voice will be chosen from a list of the best available voices from AWS Polly.
Example(s)
voice: id: Lupe lang: es-US neural: true
Free Text
id
required
Free Text
lang
required
Boolean
neural
required
Decimal Number
endOfSentencePause
Decimal Number
endOfSlidePause
Free Text
zenodo_link
link on Zenodo to the input data for the tutorial
Example(s)
zenodo_link: https://zenodo.org/record/3706539
A dictionary/map
FAQ Schema
Free Text
layout
required
This must be set to
faq
Possible Values:
faq
Example(s)
layout: "faq"
Free Text
title
required
Title of the FAQ
Example(s)
title: How does the GTN implement the 'Ten simple rules for collaborative lesson development'
title: How can I give feedback?
title: Ways to use Galaxy
Free Text
box_type
required
The type of box that should be used when rendering this FAQ.
Possible Values:
tip
hands_on
question
comment
Example(s)
box_type: "tip"
box_type: "hands_on"
box_type: "question"
box_type: "comment"
List of Items
contributors
required
Who contributed to this FAQ
Example(s)
contributors: - shiltemann - hexylena
Free Text
area
A text key used for sorting related FAQs together in the visual interface for users.
Example(s)
area: contributors
area: learners
area: features
Free Text
description
A short, one line description to provide additional context of the FAQ
Example(s)
description: Galaxy may have several reference genomes built-in, but you can also create your own.
description: Quickly learn what the identifiers are in any **BAM** dataset that is the result from mapping
description: Finding and Correcting Metadata
A dictionary/map
Topic Schema
Free Text
name
required
The internal identifier for a topic, it should be the same as the folder name.
Example(s)
name: epigenetics
name: sequence-analysis
name: admin
Required Pattern: Must match the following regular expression
/^[a-z0-9_-]+$/
Free Text
type
required
The type of topic, some have subtly different behaviours.
admin-dev
- should be used for admin and developer topics that are not scientifically focused.
basics
- Only used for galaxy-interface type topics
data-science
- Topics which are not necessarily Galaxy focused but expand into broader communities
use
- These topics use galaxy for some analysis
instructors
- Specific to topics related to instruction of Galaxy
Possible Values:
admin-dev
basics
data-science
use
instructors
Example(s)
type: "admin-dev"
type: "basics"
type: "data-science"
type: "use"
type: "instructors"
Free Text
title
required
Title of the topic, this is displayed for users to see.
Example(s)
title: Proteomics
title: Variant Analysis
Free Text
summary
required
A longer description of the contents of this topic
Example(s)
summary: Statistical Analyses for omics data and machine learning using Galaxy tools
List of Items
maintainers
required
Free Text
docker_image
The image ID for an image which contains all of the tools and data for this topic.
Example(s)
docker_image: quay.io/galaxy/sequence-analysis-training
Free Text
edam_ontology
An edam ontology id that describes the topic.
Example(s)
edam_ontology: topic_3173
Required Pattern: Must match the following regular expression
/^topic_[0-9]+$/
Boolean
enable
false
to hide your topic from the production GTN. This is useful if you need a topic for a workshop, but have not finished making it up to GTN standards.Free Text
gitter
Link to a gitter channel that is more relevant for this topic than the default. E.g. a single cell topic, you could use
Galaxy-Training-Network/galaxy-single-cell
to link to their specific chat room in all of the child tutorials by default.Example(s)
gitter: Galaxy-Training-Network/galaxy-single-cell
gitter: galaxy-genome-annotation/Lobby
List of Items
references
Example(s)
references: - - | authors: "Vaudel M, et al." title: "Shedding light on black boxes in protein identification." link: "https://www.ncbi.nlm.nih.gov/pubmed/24678044" summary: "An extensive tutorial for peptide and protein identification, available at http://compomics.com/bioinformatics-for-proteomics. The material is completely based on freely available and open-source tools."
A dictionary/map
Sequence Value
required
Free Text
authors
required
Free Text
title
required
Free Text
link
required
Free Text
summary
List of Items
requirements
List of resources that the reader of the material should be familiar with before starting this training. The structure is identical to
follow_up_training
.Example(s)
requirements: - type: internal topic_name: statistics tutorials: - age-prediction-with-ml
A dictionary/map
Sequence Value
required
Free Text
type
required
the type of link
Possible Values:
internal
Example(s)
type: "internal"
Free Text
topic_name
The name of the topic
List of Items
tutorials
List of required tutorials inside that topic
List of Items
subtopics
For large topics, we can define subtopics and create multiple tutorial lists, which separates the tutorials to help users find content that interests them more quickly.
A dictionary/map
Sequence Value
Free Text
id
required
Subtopic ID, this should match what is used in tutorials.
Example(s)
id: single-cell
Required Pattern: Must match the following regular expression
/^[A-Za-z0-9_-]+$/
Free Text
title
required
Subtopic title, which is displayed for users to see.
Example(s)
title: Maintaining a Production Galaxy
title: Single-cell RNA-seq
Free Text
description
required
A human readable textual description of a subtopic.
Example(s)
description: - "Start here if you are new to RNA-Seq analysis in Galaxy" - "These tutorials take you from raw sequencing reads to pathway analysis" - "Tutorials about analysis of single-cell RNA-seq data" - "Tutorials using a single published single-cell RNA-seq dataset for a variety of analyses"
Boolean
enable
false
to hide your topic from the production GTN. This is useful if you need a topic for a workshop, but have not finished making it up to GTN standards.
Frequently Asked Questions
Have questions about this tutorial? Check out the FAQ page for the Contributing to the Galaxy Training Material topic to see if your question is listed there. If not, please ask your question on the GTN Gitter Channel or the Galaxy Help ForumFeedback
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Citing this Tutorial
- Helena Rasche, 2022 GTN Metadata (Galaxy Training Materials). https://training.galaxyproject.org/training-material/topics/contributing/tutorials/schemas/tutorial.html Online; accessed TODAY
- Batut et al., 2018 Community-Driven Data Analysis Training for Biology Cell Systems 10.1016/j.cels.2018.05.012
details BibTeX
@misc{contributing-schemas, author = "Helena Rasche", title = "GTN Metadata (Galaxy Training Materials)", year = "2022", month = "05", day = "20" url = "\url{https://training.galaxyproject.org/training-material/topics/contributing/tutorials/schemas/tutorial.html}", note = "[Online; accessed TODAY]" } @article{Batut_2018, doi = {10.1016/j.cels.2018.05.012}, url = {https://doi.org/10.1016%2Fj.cels.2018.05.012}, year = 2018, month = {jun}, publisher = {Elsevier {BV}}, volume = {6}, number = {6}, pages = {752--758.e1}, author = {B{\'{e}}r{\'{e}}nice Batut and Saskia Hiltemann and Andrea Bagnacani and Dannon Baker and Vivek Bhardwaj and Clemens Blank and Anthony Bretaudeau and Loraine Brillet-Gu{\'{e}}guen and Martin {\v{C}}ech and John Chilton and Dave Clements and Olivia Doppelt-Azeroual and Anika Erxleben and Mallory Ann Freeberg and Simon Gladman and Youri Hoogstrate and Hans-Rudolf Hotz and Torsten Houwaart and Pratik Jagtap and Delphine Larivi{\`{e}}re and Gildas Le Corguill{\'{e}} and Thomas Manke and Fabien Mareuil and Fidel Ram{\'{\i}}rez and Devon Ryan and Florian Christoph Sigloch and Nicola Soranzo and Joachim Wolff and Pavankumar Videm and Markus Wolfien and Aisanjiang Wubuli and Dilmurat Yusuf and James Taylor and Rolf Backofen and Anton Nekrutenko and Björn Grüning}, title = {Community-Driven Data Analysis Training for Biology}, journal = {Cell Systems} }
Congratulations on successfully completing this tutorial!
Developing GTN training material
This tutorial is part of a series to develop GTN training material, feel free to also look at:
- Overview of the Galaxy Training Material
- Adding auto-generated video to your slides
- Adding Quizzes to your Tutorial
- Contributing with GitHub via command-line
- Contributing with GitHub via its interface
- Creating a new tutorial
- Creating content in Markdown
- Creating Interactive Galaxy Tours
- Creating Slides
- Generating PDF artefacts of the website
- GTN Metadata
- Including a new topic
- Running the GTN website locally
- Running the GTN website online using GitPod
- Tools, Data, and Workflows for tutorials
- Updating diffs in admin training