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Genomic and transcriptomic resources for candidate gene discovery in the Ranunculids.

Tatiana AriasDiego Mauricio Riaño-PachónVerónica S Di Stilio
Published in: Applications in plant sciences (2021)
To validate the utility of these resources, potential candidate genes were identified for the different floral morphologies using stepwise data set comparisons. Single-copy gene analysis and simple sequence repeat markers were also generated as a resource for population-level and phylogenetic studies.
Keyphrases
  • copy number
  • genome wide
  • small molecule
  • electronic health record
  • single cell
  • high throughput
  • rna seq
  • machine learning
  • human health
  • case control
  • amino acid
  • data analysis
  • artificial intelligence