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The BLUEPRINT Data Analysis Portal.

José María Fernández1, Victor de la Torre1, David Richardson2

  • 1Structural Biology and BioComputing Programme, Spanish National Cancer Research Centre (CNIO), Madrid 28029, Spain; Spanish Bioinformatics Institute INB-ISCIII ES-ELIXIR, Madrid 28029, Spain.

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|November 20, 2016
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Summary
This summary is machine-generated.

We developed the epigenomics comparative cyber-infrastructure (EPICO) and the BLUEPRINT Data Analysis Portal (BDAP) to make complex epigenomic data accessible. These tools enable intuitive comparative analysis of epigenomes for broader biological insights and clinical applications.

Keywords:
BLUEPRINT Data Analysis PortalBLUEPRINT epigenomesInternational Human Epigenomes Consortiumbioinformaticscyber-infrastructureepigenomic data mining toolsepigenomic data visualizationepigenomicshematopoiesisleukemia

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Area of Science:

  • Computational Biology
  • Genomics
  • Bioinformatics

Background:

  • Large and complex epigenomic datasets present challenges for biological insight and clinical application due to limited accessibility.
  • Existing tools often require specialized technical skills, hindering broader community engagement with epigenomic data.

Purpose of the Study:

  • To introduce the epigenomics comparative cyber-infrastructure (EPICO), an open-access resource for developing comparative epigenomic data portals.
  • To present the BLUEPRINT Data Analysis Portal (BDAP) as a practical implementation of EPICO for analyzing hematopoietic cell epigenomes.
  • To facilitate intuitive and fast comparative analysis of epigenomic data for researchers without specific technical expertise.

Main Methods:

  • Development of EPICO, a set of libraries designed for creating comparative epigenomic data portals.
  • Implementation of the BLUEPRINT Data Analysis Portal (BDAP) using EPICO.
  • Integration of results from basic analysis pipelines, including epigenetic feature positions, into BDAP.
  • Design of an interactive interface for exploring genomic regions, genes, and pathways within the context of hematopoietic cell differentiation.

Main Results:

  • EPICO provides a framework for epigenome projects to share rich datasets with the wider scientific community.
  • BDAP offers a user-friendly desktop environment for comparative epigenome analysis, specifically for hematopoietic cell types.
  • The BDAP interface enables interactive exploration of epigenomic data related to hematopoietic lineage differentiation.

Conclusions:

  • EPICO and BDAP represent significant advancements in making complex epigenomic data more accessible and analyzable.
  • These tools lower the technical barrier for researchers, promoting broader use of epigenomic datasets for biological discovery.
  • This work is a crucial step towards enabling integrative analysis of epigenomic data across international research consortia.