Skip to main content

IHEC Data Portal

  • Chapter
  • First Online:
Practical Guide to Life Science Databases

Abstract

The International Human Epigenome Consortium (IHEC) coordinates the creation of high-resolution reference epigenome maps for healthy and diseased human tissues. The IHEC Data Portal (http://epigenomesportal.ca/ihec) provides open access to discover, visualize, compare, and download annotation tracks generated for these reference epigenomes, along with their associated metadata. More than 16,000 transcriptome, methylome, and histone tracks, sourced from over 900 tissues and compared against the hg19 and hg38 reference genomes are provided. The standardized IHEC Data Hub submission protocol ensures that complete and compatible data is integrated from the consortium members. The data portal offers a highly visual, interactive, and intuitive data grid interface to facilitate dataset selection across multiple criteria. All data may be correlated, visualized in popular genome browsers, exported to a Galaxy instance, downloaded for further analysis, or saved as a session for future retrieval. Through providing access to IHEC’s database of reference epigenomic datasets, the IHEC Data Portal reinforces the consortium’s commitment to Open Science.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 409.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 519.00
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 519.00
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Bujold D, de Lima Morais DA, Gauthier C, Côté C, Caron M, Kwan T, Chen KC, Laperle J, Markovits AN, Pastinen T, Caron B (2016) The international human epigenome consortium data portal. Cell Syst 3(5):496–499

    Article  CAS  Google Scholar 

  • Cell Ontology (2019). http://cellontology.org

  • Eilbeck K, Lewis SE, Mungall CJ, Yandell M, Stein L, Durbin R, Ashburner M (2005) The Sequence Ontology: a tool for the unification of genome annotations. Genome Biol 6:R44

    Article  Google Scholar 

  • Epigenome Reference Registry (2019). https://www.ebi.ac.uk/vg/epirr/

  • Giardine B, Riemer C, Hardison RC, Burhans R, Elnitski L, Shah P, Zhang Y, Blankenberg D, Albert I, Taylor J, Miller W (2005) Galaxy: a platform for interactive large-scale genome analysis. Genome Res 15(10):1451–1455

    Article  CAS  Google Scholar 

  • Global Alliance for Genomics and Health (2019). https://www.ga4gh.org/

  • Kent WJ, Zweig AS, Barber G, Hinrichs AS, Karolchik D (2010) BigWig and BigBed: enabling browsing of large distributed datasets. Bioinformatics 26(17):2204–2207

    Article  CAS  Google Scholar 

  • Laperle J, Hébert-Deschamps S, Raby J et al (2019) The epiGenomic Efficient Correlator (epiGeEC) tool allows fast comparison of user datasets with thousands of public epigenomic datasets. Bioinformatics 35(4):674–676. https://doi.org/10.1093/bioinformatics/bty655

    Article  CAS  PubMed  Google Scholar 

  • Leinonen R, Akhtar R, Birney E, Bower L, Cerdeno-Tárraga A, Cheng Y, Cleland I, Faruque N, Goodgame N, Gibson R, Hoad G (2010) The European nucleotide archive. Nucleic Acids Res 39(Suppl 1):D28–D31

    PubMed  PubMed Central  Google Scholar 

  • Malone J, Holloway E, Adamusiak T, Kapushesky M, Zheng J, Kolesnikov N, Zhukova A, Brazma A, Parkinson H (2010) Modeling sample variables with an experimental factor ontology. Bioinformatics 26(8):1112–1118

    Article  CAS  Google Scholar 

  • Mungall C, Haendel M, Dahdul W, Ibrahim N, Segerdell E, Blackburn D, Comte A, Niknejad A, Decechi A (2016) Uberon ontology. http://purl.obolibrary.org/obo/uberon/releases/2016-01-26/uberon.owl

  • NCI Metathesaurus (2019). https://ncim.nci.nih.gov/ncimbrowser/

  • Stunnenberg HG, Abrignani S, Adams D, de Almeida M, Altucci L, Amin V, Amit I, Antonarakis SE, Aparicio S, Arima T, Arrigoni L (2016) The International Human Epigenome Consortium: a blueprint for scientific collaboration and discovery. Cell 167(5):1145–1149

    Article  CAS  Google Scholar 

  • Tateno Y, Imanishi T, Miyazaki S, Fukami-Kobayashi K, Saitou N, Sugawara H, Gojobori T (2002) DNA Data Bank of Japan (DDBJ) for genome scale research in life science. Nucleic Acids Res 30(1):27–30

    Article  CAS  Google Scholar 

  • The Ontology for Biomedical Investigations (2016) PLoS One 11(4):e0154556. https://doi.org/10.1371/journal.pone.0154556. eCollection 2016

    Article  CAS  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Guillaume Bourque .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Bujold, D., Grégoire, R., Brownlee, D., Zaytseva, K., Bourque, G. (2021). IHEC Data Portal. In: Abugessaisa, I., Kasukawa, T. (eds) Practical Guide to Life Science Databases. Springer, Singapore. https://doi.org/10.1007/978-981-16-5812-9_4

Download citation

Publish with us

Policies and ethics