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 Galaxy servers
Introduction to Genome Annotation

Prokaryotes

Annotation of prokaryotic genomes.

Lesson Slides Hands-on Recordings Input dataset Workflows Galaxy servers
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 Galaxy servers
    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 Galaxy servers
    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 logoAvatarMateo Boudetorcid logoAvatarSimon GladmanAvatarKenji Fujiharaorcid logoAvatarAnthony BretaudeauAvatarEsteban Perez-Wohlfeilorcid logoAvatarMaria Doyleorcid logoAvatarAnika Erxlebenorcid logoAvatarJonathan Kreplakorcid logoAvatarHelena Rascheorcid logoAvatarBérénice Batutorcid logoAvatarAlexandre CormierAvatarAnton Nekrutenkoorcid logoAvatarStéphanie RobinAvatarNathan DunnAvatarErasmus+ Programmeorcid logoAvatarErwan CorreAvatarTorsten Seemannorcid logoAvatarLaura LeroiAvatarTwishi Gulatiorcid logoAvatarAnna Symeorcid logoAvatarDelphine Lariviereorcid logoAvatarBjörn Grüning