Published June 1, 2026 | Version v1

SCIENCE BFSP CoS | WP2 | D2.2 Computational pipelines to assess pan-genome data quality and characterise gene-based structural variation within pan-genomes

  • 1. Helmholtz Center Munich
  • 2. ROR icon Ghent University
  • 3. VIB
  • 1. ROR icon European Bioinformatics Institute
  • 2. ROR icon Leibniz Institute of Plant Genetics and Crop Plant Research
  • 3. ROR icon SIB Swiss Institute of Bioinformatics

Description

Genomic data integration and downstream analysis can be heavily influenced by variations in data quality. The specific research questions under investigation must therefore take these variations into account, and furthermore strive to eliminate them as much as possible. The goal of this effort is to differentiate the detected gene variations in pan-genomes as either technical artefacts, or biologically relevant information. But in order to do so, one must thus first be able to measure the data quality. 

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Funding

European Commission
ELIXIR - European Life-science Infrastructure for Biological Information 211601