diff --git a/.github/workflows/ci-main.yml b/.github/workflows/ci-main.yml index 3f5de067fa2551..f25406506b5797 100644 --- a/.github/workflows/ci-main.yml +++ b/.github/workflows/ci-main.yml @@ -12,6 +12,8 @@ on: - '**/tutorial*.md' - '**/slides.html' - '**/slides/*.html' + - 'learning-pathways/*' + - 'faqs/**' jobs: lint: diff --git a/_layouts/learning-pathway.html b/_layouts/learning-pathway.html index 3e1116fe748ec2..70577007c122be 100644 --- a/_layouts/learning-pathway.html +++ b/_layouts/learning-pathway.html @@ -46,8 +46,10 @@

Requirements

{{ section.section }}

{{ section.description | markdownify }}

+ {% if section.tutorials %} {% assign material_list = site | convert_to_material_list: section.tutorials %} {% include _includes/tutorial_list.html sub=material_list %} + {% endif %} {% endfor %} @@ -56,12 +58,14 @@

{{ section.section }}

Editorial Board

This material is reviewed by our Editorial Board:

- {% assign editorial_board = pathway.maintainers %} + {% assign editorial_board = pathway.editorial_board %} {% include _includes/contributor-list.html contributors=editorial_board badge=true %} + {% if pathway.funding %}

Funders

This material was funded by:

{% assign funders = pathway.funding | sorted %} {% include _includes/contributor-list.html contributors=funders badge=true %} + {% endif %} diff --git a/assets/images/wab-annotatedcells-2.png b/assets/images/wab-annotatedcells-2.png new file mode 100644 index 00000000000000..99af4179be5537 Binary files /dev/null and b/assets/images/wab-annotatedcells-2.png differ diff --git a/json-ld.html b/json-ld.html new file mode 100644 index 00000000000000..eb762b05843a8a --- /dev/null +++ b/json-ld.html @@ -0,0 +1,257 @@ +--- +layout: page +title: TeSS LD+JSON Tester +--- + +

+Here you can test how data from a page will be mapped to TeSS fields. This is based on this TeSS Document +

+ +
+ + +
+ +

If you supply a full URL, your request will be proxied via corsproxy.io

+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
Profile PropertymarginalityMaps to TeSSNotes/Vocab๐Ÿ” Observed Value
nameminimumTitleString
descriptionminimumDescriptionString: markdown-compatible
urlrecommendedURL
keywordsminimumKeywordsString: a comma separated list of keywords
dateCreatedoptionalDate
licenserecommendedLicenseExpects a SPDX identifier
learningResourceTyperecommendedResource TypeE.g. hands-on tutorials, etc
aboutrecommendedScientific TopicsExpects a DefinedTerm with a name property. EDAM
audiencerecommendedTarget AudiencePicks the audienceType property from the Audience
authorrecommendedAuthorsPicks the name property from the Person
contributoroptionalContributorsPicks the name property from the Person
identifierrecommendedDOIOnly recognizes DOI identifiers
educationalLevelrecommendedDifficulty LevelBeginner
Intermediate
Advanced
abstractrecommended
competencyRequiredrecommendedPrerequisitesAvailable in 1.4
inLanguagerecommended
mentionsrecommendedSeems to relate to External Resources
teachesrecommendedLearning ObjectivesAvailable in 1.4
timeRequiredrecommended
accessibilitySummaryoptional
dateModifiedoptionalDate modifiedAvailable in 1.4
datePublishedoptionalDate publishedAvailable in 1.4
creativeWorkStatusoptionalStatusAvailable in 1.4
versionoptionalVersionAvailable in 1.4
workTranslationoptional
recordedAtoptionalโ€˜Linkโ€™ to Event via name, url pair of CourseInstance
hasPartoptional
isPartOfoptional
+ + + + + diff --git a/learning-pathways/intro_single_cell.md b/learning-pathways/intro_single_cell.md new file mode 100644 index 00000000000000..bfecc1f3697678 --- /dev/null +++ b/learning-pathways/intro_single_cell.md @@ -0,0 +1,52 @@ +--- +layout: learning-pathway +tags: [beginner] +cover-image: assets/images/wab-annotatedcells-2.png +cover-image-alt: "Image of cells in different coloured clusters" +type: use + +editorial_board: +- nomadscientist +- pavanvidem + +title: Introduction to Galaxy and Single Cell RNA Sequence analysis +description: | + This learning path aims to teach you the basics of Galaxy and analysis of Single Cell RNA-seq data. + You will learn how to use Galaxy for analysis, and an important Galaxy feature for iterative single cell analysis. You'll tbe guided through the general theory of single analysis and then perform a basic analysis of 10X chromium data. For support throughout these tutorials, join our Galaxy [single cell chat group on Matrix](https://matrix.to/#/#Galaxy-Training-Network_galaxy-single-cell:gitter.im) to ask questions! + +priority: 9 + +pathway: + - section: "Module 1: Introduction to Galaxy" + description: | + Get a first look at the Galaxy platform for data analysis. We start with a + short introduction (video slides & practical) to familiarize you with the Galaxy + interface, and then proceed with a short tutorial of how to tag - and organise! - your history. + tutorials: + - name: galaxy-intro-short + topic: introduction + - name: name-tags + topic: galaxy-interface + + - section: "Module 2: Theory of Single-Cell RNA-seq" + description: | + When analysing sequencing data, you should always start with a quality control step to clean your data and make sure your data is good enough to answer your research question. After this step, you will often proceed with a mapping (alignment) or genome assembly step, depending on whether you have a reference genome to work with. + tutorials: + - name: scrna-intro + topic: single-cell + + - section: "Module 3: Time to analyse data!" + description: | + It's time to apply your skills! You'll now analyse some clean data from the 10X Chromium platform. + tutorials: + - name: scrna-preprocessing-tenx + topic: single-cell + - name: scrna-scanpy-pbmc3k + topic: single-cell + + - section: "The End!" + description: | + And now you're done! There are still loads of resources to take you from basic analysis to more difficult decision-making, deconvolution, multiomics, or ingesting from different data sources. See the [Galaxy Single Cell Training page](/training-material/topics/single-cell/index.html) for more! +--- + +New to Galaxy and/or the field of scRNA-seq? Follow this learning path to get familiar with the basics!