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OncoGEMINI: software for investigating tumor variants from multiple biopsies with integrated cancer annotations.

Thomas J NicholasMichael J CormierXiaomeng HuangYi QiaoGabor T MarthAaron R Quinlan
Published in: Genome medicine (2021)
By combining relevant genomic annotations alongside specific filtering tools, OncoGEMINI provides powerful and customizable approaches that enable the quick identification of individual tumor variants that meet specified criteria. It can be applied to a wide range of tumor-derived sequence data, but is especially designed for studies with multiple samples, including longitudinal datasets. It is available under an MIT license at github.com/fakedrtom/oncogemini .
Keyphrases
  • copy number
  • papillary thyroid
  • electronic health record
  • gene expression
  • squamous cell carcinoma
  • machine learning
  • squamous cell
  • rna seq
  • deep learning