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Training materials

  • Ensembl training materials are protected by a CC BY licence
  • If you wish to re-use these materials, please credit Ensembl - ensembl.org for their creation.
  • If you use Ensembl for your work, please cite the most recent relevant papers

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Ensembl Training and Outreach

Ensembl, EMBL-EBI

Wednesday, 12th August 2026

2026 BIOTA Phils Annual Convention

Louisse Paola Mirabueno and Aleena Mushtaq-Stolworthy

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European Molecular Biology Laboratory (EMBL)

EMBL-EBI

Bioinformatics

Grenoble

Structural biology

Barcelona

Tissue biology and disease modelling

Hamburg

Structural biology

Heidelberg

Life sciences

Rome

Epigenetics �and neurobiology

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What is bioinformatics?

Bioinformatics allows you to manage, analyse and interpret enormous amounts of biological data with the use of computer science, mathematics and statistics.

  • Integrates biology with computer science
  • Makes sense of large datasets
  • Finds connections and trends in biological systems
  • Key for discovering disease genes, understanding evolution, and developing new medicines.

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Examples of the use of bioinformatics

Agriculture

Map and sequence plant genomes to identify genes for yield, drought resistance, pest resistance, and nutrient content to breed improved crops and livestock.

Food Science

Detect pathogens, allergens, and improve nutrition using DNA analyses of food ingredients and contaminants.​

Environmental Science

Analyse microbial communities in soil, water, and air, to help assess ecosystem health and monitor pollution.

Medicine

Analyse genetic profiles to tailor treatments, such as choosing drugs based on a cancer patient’s unique genetic variants.

Biotechnology

Accelerate discovery of useful enzymes or bioactive molecules by analysing sequence databases for industrial, pharmaceutical, or agricultural use.

Evolutionary biology

Use of DNA, RNA, and protein sequences to construct phylogenetic trees showing evolutionary relationships between organisms and genes.

Agriculture

Map and sequence plant genomes to identify genes for yield, drought resistance, pest resistance, and nutrient content to breed improved crops and livestock.

Food Science

Detect pathogens, allergens, and improve nutrition using DNA analyses of food ingredients and contaminants.​

Environmental Science

Analyse microbial communities in soil, water, and air, to help assess ecosystem health and monitor pollution.

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European Bioinformatics Institute (EBI)

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EMBL-EBI resources and tools

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Role of genomic resources and databases

Genomic resources and databases allow us to:

  • Aggregate reference data from various studies
  • Store genomic data in standard formats
  • Turn raw data into interpretable information
  • Support reproducible and scalable research

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What do genome browsers tell us?

CGGCCTTTGGGCTCCGCCTTCAGCTCAAGACTTAACTTCCCTCCCAGCTGTCCCAGATGACGCCATCTGAAATTTCTTGGAAACACGATCACTTTAACGGAATATTGCTGTTTTGGGGAAGTGTTTTACAGCTGCTGGGCACGCTGTATTTGCCTTACTTAAGCCCCTGGTAATTGCTGTATTCCGAAGACATGCTGATGGGAATTACCAGGCGGCGTTGGTCTCTAACTGGAGCCCTCTGTCCCCACTAGCCACGCGTCACTGGTTAGCGTGATTGAAACTAAATCGTATGAAAATCCTCTTCTCTAGTCGCACTAGCCACGTTTCGAGTGCTTAATGTGGCTAGTGGCACCGGTTTGGACAGCACAGCTGTAAAATGTTCCCATCCTCACAGTAAGCTGTTACCGTTCCAGGAGATGGGACTGAATTAGAATTCAAACAAATTTTCCAGCGCTTCTGAGTTTTACCTCAGTCACATAATAAGGAATGCATCCCTGTGTAAGTGCATTTTGGTCTTCTGTTTTGCAGACTTATTTACCAAGCATTGGAGGAATATCGTAGGTAAAAATGCCTATTGGATCCAAAGAGAGGCCAACATTTTTTGAAATTTTTAAGACACGCTGCAACAAAGCAGGTATTGACAAATTTTATATAACTTTATAAATTACACCGAGAAAGTGTTTTCTAAAAAATGCTTGCTAAAAACCCAGTACGTCACAGTGTTGCTTAGAACCATAAACTGTTCCTTATGTGTGTATAAATCCAGTTAACAACATAATCATCGTTTGCAGGTTAACCACATGATAAATATAGAACGTCTAGTGGATAAAGAGGAAACTGGCCCCTTGACTAGCAGTAGGAACAATTACTAACAAATCAGAAGCATTAATGTTACTTTATGGCAGAAGTTGTCCAACTTTTTGGTTTCAGTACTCCTTATACTCTTAAAAATGATCTAGGACCCCCGGAGTGCTTTTGTTTATGTAGCTTACCATATTAGAAATTTAAAACTAAGAATTTAAGGCTGGGCGTGGTGGCTCACGCCTGTAATCCCAGCACTTTGGGAGGCCGAGGTGGGCGGATCACTTGAGGCCAGAAGTTTGAGACCAGCCTGGCCAACATGGTGAAACCCTATCTCTACTAAAAATACAAAAAATGTGCTGCGTGTGGTGGTGCGTGCCTGTAATCCCAGCTACACGGGAGGTGGAGGCAGGAGAATCGCTTGAACCCTGGAGGCAGAGGTTGCAGTGAGCCAAGATCATGCCACTGCACTCTAGCCTGGGCCACATAGCATGACTCTGTCTCAAAACAAACAAACAAACAAAAAACTAAGAATTTAAAGTTAATTTACTTAAAAATAATGAAAGCTAACCCATTGCATATTATCACAACATTCTTAGGAAAAATAACTTTTTGAAAACAAGTGAGTGGAATAGTTTTTACATTTTTGCAGTTCTCTTTAATGTCTGGCTAAATAGAGATAGCTGGATTCACTTATCTGTGTCTAATCTGTTATTTTGGTAGAAGTATGTGAAAAAAAATTAACCTCACGTTGAAAAAAGGAATATTTTAATAGTTTTCAGTTACTTTTTGGTATTTTTCCTTGTACTTTGCATAGATTTTTCAAAGATCTAATAGATATACCATAGGTCTTTCCCATGTCGCAACATCATGCAGTGATTATTTGGAAGATAGTGGTGTTCTGAATTAACTAAGAATTTAAAGTTAA

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What do genome browsers tell us?

CGGCCTTTGGGCTCCGCCTTCAGCTCAAGACTTAACTTCCCTCCCAGCTGTCCCAGATGACGCCATCTGAAATTTCTTGGAAACACGATCACTTTAACGGAATATTGCTGTTTTGGGGAAGTGTTTTACAGCTGCTGGGCACGCTGTATTTGCCTTACTTAAGCCCCTGGTAATTGCTGTATTCCGAAGACATGCTGATGGGAATTACCAGGCGGCGTTGGTCTCTAACTGGAGCCCTCTGTCCCCACTAGCCACGCGTCACTGGTTAGCGTGATTGAAACTAAATCGTATGAAAATCCTCTTCTCTAGTCGCACTAGCCACGTTTCGAGTGCTTAATGTGGCTAGTGGCACCGGTTTGGACAGCACAGCTGTAAAATGTTCCCATCCTCACAGTAAGCTGTTACCGTTCCAGGAGATGGGACTGAATTAGAATTCAAACAAATTTTCCAGCGCTTCTGAGTTTTACCTCAGTCACATAATAAGGAATGCATCCCTGTGTAAGTGCATTTTGGTCTTCTGTTTTGCAGACTTATTTACCAAGCATTGGAGGAATATCGTAGGTAAAAATGCCTATTGGATCCAAAGAGAGGCCAACATTTTTTGAAATTTTTAAGACACGCTGCAACAAAGCAGGTATTGACAAATTTTATATAACTTTATAAATTACACCGAGAAAGTGTTTTCTAAAAAATGCTTGCTAAAAACCCAGTACGTCACAGTGTTGCTTAGAACCATAAACTGTTCCTTATGTGTGTATAAATCCAGTTAACAACATAATCATCGTTTGCAGGTTAACCACATGATAAATATAGAACGTCTAGTGGATAAAGAGGAAACTGGCCCCTTGACTAGCAGTAGGAACAATTACTAACAAATCAGAAGCATTAATGTTACTTTATGGCAGAAGTTGTCCAACTTTTTGGTTTCAGTACTCCTTATACTCTTAAAAATGATCTAGGACCCCCGGAGTGCTTTTGTTTATGTAGCTTACCATATTAGAAATTTAAAACTAAGAATTTAAGGCTGGGCGTGGTGGCTCACGCCTGTAATCCCAGCACTTTGGGAGGCCGAGGTGGGCGGATCACTTGAGGCCAGAAGTTTGAGACCAGCCTGGCCAACATGGTGAAACCCTATCTCTACTAAAAATACAAAAAATGTGCTGCGTGTGGTGGTGCGTGCCTGTAATCCCAGCTACACGGGAGGTGGAGGCAGGAGAATCGCTTGAACCCTGGAGGCAGAGGTTGCAGTGAGCCAAGATCATGCCACTGCACTCTAGCCTGGGCCACATAGCATGACTCTGTCTCAAAACAAACAAACAAACAAAAAACTAAGAATTTAAAGTTAATTTACTTAAAAATAATGAAAGCTAACCCATTGCATATTATCACAACATTCTTAGGAAAAATAACTTTTTGAAAACAAGTGAGTGGAATAGTTTTTACATTTTTGCAGTTCTCTTTAATGTCTGGCTAAATAGAGATAGCTGGATTCACTTATCTGTGTCTAATCTGTTATTTTGGTAGAAGTATGTGAAAAAAAATTAACCTCACGTTGAAAAAAGGAATATTTTAATAGTTTTCAGTTACTTTTTGGTATTTTTCCTTGTACTTTGCATAGATTTTTCAAAGATCTAATAGATATACCATAGGTCTTTCCCATGTCGCAACATCATGCAGTGATTATTTGGAAGATAGTGGTGTTCTGAATTAACTAAGAATTTAAAGTTAA

Regulatory element

Gene

Variant

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The mission of Ensembl is to provide a comprehensive and accurate annotation of genomes, integrating this information with other biological data and making it publicly accessible via the web.

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In the past years, Ensembl has generated approx. 30TB of data every release for the main site alone.

HQ smartphone photo ~5MB (=0.000005 TB)

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What you can find in Ensembl

  • Genomes and gene builds
  • Genetic variation data
  • Regulatory builds
  • Comparative genomics (homologues, gene trees, alignments)
  • Tools for data processing (BLAST, Ensembl VEP)
  • Programmatic access
  • Completely open-source (FTP, GitHub)

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The new Ensembl Data Platform

  • New Ensembl genome browser platform with an app-based approach to functionality
  • Highly responsive and modern user interface
  • User will have the ability to browse multiple species of interest simultaneously
  • All Ensembl sites now in a single platform
  • We welcome user feedback!

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Mirrors are retired with the Ensembl 116 archive

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Ensembl enables genome analyses

Public data

Genome analysis

Ensembl workflows

APIs

Genome browser

Tools

Genes & repeats

Regulatory regions

Comparative genomics

Genomic variation

Phenotype associations

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The Ensembl team

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The Ensembl Outreach team

Dr Jorge Batista da Rocha

Outreach Project Leader

Louisse Paola Mirabueno

Outreach Officer

Dr Aleena Mushtaq-Stolworthy

Senior Outreach Officer

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Ensembl Outreach responsibilities

  • Develop, maintain and deliver Ensembl training
  • Draft, review and compile Ensembl documentation
  • Ensembl communications
  • Monitor the Ensembl Helpdesk and provide user support
  • Providing a bridge between Ensembl developers and Ensembl users

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Ensembl Training and Outreach

ICESI, Calí, Colombia

Faculty of Medicine of Sousse, Tunisia

Pokhara University, Nepal

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Ensembl as part of the academic curriculum

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Using Ensembl as a teaching tool in life sciences

  • Public and open-access resource
  • Used globally in health, agriculture, biodiversity and conservation fields
  • Species availability: from human and crops to wildlife, pathogens and model organisms
  • A shared platform connecting biological questions to real data
  • Low barrier to bioinformatics entry
  • Use Ensembl to explain genomics concepts in a visual context

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Using Ensembl to teach genomics concepts

Genome-scale concepts can be visually explored:

  • Where is a gene, and what does it do?
  • How is a gene structured (exons, transcripts and proteins)?
  • What variants occur, and what may their consequences be?
  • How do genes compare between species?
  • What does genomic evidence tell us about evolution, traits and diversity?

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Ensembl as a first step into bioinformatics

  • No coding needed: accessible via an internet browser
  • Real research data builds data and evidence literacy
  • Learners can progress from browsing to data export and analysis
  • Bioinformatics becomes a way to answer biological questions, not just a technical skill!

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Which Ensembl version should I teach?

If you know our current version well or if you have existing materials:

  • We recommend that you continue your training with Ensembl 116
  • It remains available as a long term, tools enabled archive
  • The latest release is from June 2026 so data is still current
  • You will need to change www.ensembl.org links to the archive URL:
    • jun2026.archive.ensembl.org
    • Find out more on our blog

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Which Ensembl version should I teach?

Do you use Ensembl BioMart or the Ensembl Variant Effect Predictor (VEP) in your training?

  • BioMart remains available only in versions up to Ensembl 116
    • BioMart will not be updated further but remains valuable
    • Used commonly in R with biomaRt
  • Fully featured Ensembl VEP in Ensembl 116/Ensembl Genomes 63:
    • Supports plugins, frequencies and phenotypes
    • Supports structural variants

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Which Ensembl version should I teach?

Does your audience need genome data from new genome assemblies?

  • The telomere-to-telomere human genome (T2T-CHM13) is on our new site
  • Many new species and genomes:
    • Darwin Tree of Life (DToL)
    • Human Pangenome Reference Consortium (HPRC)
  • Caution - frequent updates over the next year, design your training wisely
  • New species are added to the site every 2-3 weeks!

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Ensembl transition: taxa coming together in one site

Ensembl

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Capacity building

Ensembl Train the Trainer course:

  • Principles of bioinformatics training
    • Effective training
    • Learning approaches
    • Audience
    • Delivery
  • Developing your own Ensembl training:
    • Tailoring your training
    • Workshop structure

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Ensembl for Educators: a resource for trainers

Ensembl is a dynamic resource that is regularly updated to reflect new data and improvements to the interface. For educators, this creates a familiar challenge: how do I teach a platform that continues to evolve while ensuring that learning materials remain accurate, accessible, and relevant?

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Available materials

Materials focus on Ensembl 116 / Ensembl Genomes 63:

  • Videos and recordings
  • Online courses
  • Step-by-step walkthroughs
  • Exercises and worked examples
  • Workshop materials
  • Example modules and course outline
  • Tips on teaching Ensembl

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Ensembl for Educators

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Ensembl for Educators

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Please complete the feedback form when teaching Ensembl with the provided materials

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Hosting an Ensembl training course

Browser course�One-day course on the Ensembl browser, aimed at wet-lab scientists.

Train-the-trainer course�One-day course on delivering bioinformatics training and teaching your own Ensembl browser course.

Visit the Ensembl Training website or email us for more information.

We can teach an Ensembl course at any institute for free (plus trainers’ expenses in high-income countries).

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Ensembl Training and Outreach

ICESI, Calí, Colombia

Faculty of Medicine of Sousse, Tunisia

Pokhara University, Nepal

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Ensembl training in the age of AI

  • Cannot stop users from using AI – instead, we can highlight during training best practices and being mindful of hallucinations
  • Use of AI to aggregate information from genomic resources
  • AI clients impact resource servers
  • Assessing AI responses

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Licensing

  • Ensembl training materials are protected by a CC BY licence
  • If you wish to re-use these materials, please credit Ensembl - ensembl.org for their creation.
  • If you use Ensembl for your work, please cite the most recent relevant papers

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Citing Ensembl

Yates AD, Austine-Orimoloye O, Azov AG, et al. Ensembl 2026. Nucleic Acids Research. 2025 Nov;gkaf1239. DOI: 10.1093/nar/gkaf1239. PMID: 41296548.

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Where to get help

Explore all help and documentation pages, including a guide to the new Ensembl platform.

Data- and tool-specific help pages.

Find out how the data was generated or how to use the tool.

Get in touch with the Ensembl Helpdesk.

Help & documentation

More info

Contact form

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Reach out to us and keep up-to-date

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Acknowledgements and funding

Funded by the European Union

Horizon 2020

Horizon Europe Programme

We would like to acknowledge the National Genome Research Institute (NHGRI) for funding the following grants supporting the creation of the human pangenome reference: U41HG010972, U01HG010971, U01HG013760, U01HG013755, U01HG013748, U01HG013744, R01HG011274, and the Human Pangenome Reference Consortium (BioProject ID: PRJNA730823) as well as 2U24HG007497-09 which supports the creation of HGSVC resources

Funded by Wellcome

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Training materials

  • Ensembl training materials are protected by a CC BY licence
  • If you wish to re-use these materials, please credit Ensembl - ensembl.org for their creation.
  • If you use Ensembl for your work, please cite the most recent relevant papers