Genome Annotation

Genome annotation is a multi-level process that includes prediction of protein-coding genes, as well as other functional genome units such as structural RNAs, tRNAs, small RNAs, pseudogenes, control regions, direct and inverted repeats, insertion sequences, transposons and other mobile elements.

You can view the tutorial materials in different languages by clicking the dropdown icon next to the slides () and tutorial () buttons below.

Requirements

Before diving into this topic, we recommend you to have a look at:

Material

Introduction

Start here if you are new to genome annotation in Galaxy.

Lesson Slides Hands-on Recordings Input dataset Workflows
Introduction to Genome Annotation

Prokaryotes

Annotation of prokaryotic genomes.

Lesson Slides Hands-on Recordings Input dataset Workflows
Genome annotation with Prokka
prokaryote
Refining Genome Annotations with Apollo (prokaryotes)
prokaryote
Essential genes detection with Transposon insertion sequencing
bacteria tnseq essential genes

Eukaryotes

Annotation of eukaryotic genomes.

Lesson Slides Hands-on Recordings Input dataset Workflows
Masking repeats with RepeatMasker
eukaryote
Genome annotation with Funannotate
eukaryote
Genome annotation with Maker (short)
eukaryote
Genome annotation with Maker
eukaryote
Functional annotation of protein sequences
eukaryote
Refining Genome Annotations with Apollo (eukaryotes)
eukaryote cyoa
Long non-coding RNAs (lncRNAs) annotation with FEELnc
eukaryote
CRISPR screen analysis
genome editing CRISPR essential genes cell line

Other

Assorted Tutorials

Lesson Slides Hands-on Recordings Input dataset Workflows
From small to large-scale genome comparison
Comparative gene analysis in unannotated genomes
evolution annotation vgp cookbook eukaryote prokaryote

Galaxy instances

You can use a public Galaxy instance which has been tested for the availability of the used tools. They are listed along with the tutorials above.

You can also use the following Docker image for these tutorials:

docker run -p 8080:80 quay.io/galaxy/genome-annotation-training

NOTE: Use the -d flag at the end of the command if you want to automatically download all the data-libraries into the container.

It will launch a flavored Galaxy instance available on http://localhost:8080. This instance will contain all the tools and workflows to follow the tutorials in this topic. Login as admin with password password to access everything.

Frequently Asked Questions

Common questions regarding this topic have been collected on a dedicated FAQ page . Common questions related to specific tutorials can be accessed from the tutorials themselves.

Maintainers

This material is maintained by:

orcid logoAvatarHelena Rascheorcid logoAvatarSimon Gladmanorcid logoAvatarAnthony Bretaudeau

For any question related to this topic and the content, you can contact them or visit our Gitter channel.

Contributors

This material was contributed to by:

orcid logoAvatarAnthony Bretaudeauorcid logoAvatarAnika ErxlebenAvatarAnton Nekrutenkoorcid logoAvatarBérénice Batutorcid logoAvatarBjörn Grüningorcid logoAvatarStéphanie Robinorcid logoAvatarLaura LeroiAvatarNathan Dunnorcid logoAvatarAnna SymeAvatarTorsten SeemannAvatarTwishi GulatiAvatarEsteban Perez-Wohlfeilorcid logoAvatarDelphine Lariviereorcid logoAvatarMaria DoyleAvatarErasmus+ Programmeorcid logoAvatarErwan Correorcid logoAvatarMateo Boudetorcid logoAvatarSimon Gladmanorcid logoAvatarJonathan Kreplakorcid logoAvatarHelena RascheAvatarKenji Fujiharaorcid logoAvatarAlexandre Cormier