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RicePilaf: a post-GWAS/QTL dashboard to integrate pangenomic, coexpression, regulatory, epigenomic, ontology, pathway, and text-mining information to provide functional insights into rice QTLs and GWAS loci.

Anish M S ShresthaMark Edward M GonzalesPhoebe Clare L OngPierre LarmandeHyun-Sook LeeJi-Ung JeungAjay KohliDmytro ChebotarovRamil P MauleonJae-Sung LeeKenneth L McNally
Published in: GigaScience (2024)
RicePilaf enables rice scientists and breeders to shed functional light on their GWAS regions and QTLs, and it provides them with a means to prioritize SNPs/genes for further experiments. The source code, a Docker image, and a demo version of RicePilaf are publicly available at https://github.com/bioinfodlsu/rice-pilaf.
Keyphrases
  • genome wide
  • genome wide association study
  • dna methylation
  • deep learning
  • smoking cessation
  • healthcare
  • network analysis
  • machine learning
  • social media
  • high density