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DrosOmics: a browser to explore -omics variation across high-quality reference genomes from natural populations of D. melanogaster.

Marta Coronado-ZamoraJudit Salces-OrtizJosefa González
Published in: Molecular biology and evolution (2023)
The advent of long-read sequencing technologies has allowed the generation of multiple high-quality de novo genome assemblies for multiple species, including well-known model species such as Drosophila melanogaster. Genome assemblies for multiple individuals of the same species are key to discover the genetic diversity present in natural populations, especially the one generated by transposable elements, the most common type of structural variant. Despite the availability of multiple genomic datasets for D. melanogaster populations, we lack an efficient visual tool to display different genomes assemblies simultaneously. In this work, we present DrosOmics, a population genomics-oriented browser for 52 high-quality reference genomes of D. melanogaster, including annotations from a highly reliable set of transposable elements, and functional transcriptomics and epigenomics data for 26 genomes. DrosOmics is based on JBrowse 2, a highly scalable-platform, which allows the visualization of multiple assemblies at once, key to unraveling structural and functional features of D. melanogaster natural populations. DrosOmics is open access and freely available at http://gonzalezlab.eu/drosomics.
Keyphrases
  • genetic diversity
  • single cell
  • drosophila melanogaster
  • high throughput
  • minimally invasive
  • rna seq
  • genome wide
  • machine learning
  • single molecule
  • artificial intelligence
  • big data
  • electronic health record