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Neoepitopes prediction strategies: an integration of cancer genomics and immunoinformatics approaches.

Sandeep Kumar DhandaSwapnil MahajanMalini Manoharan
Published in: Briefings in functional genomics (2022)
A major near-term medical impact of the genomic technology revolution will be the elucidation of mechanisms of cancer pathogenesis, leading to improvements in the diagnosis of cancer and the selection of cancer treatment. Next-generation sequencing technologies have accelerated the characterization of a tumor, leading to the comprehensive discovery of all the major alterations in a given cancer genome, followed by the translation of this information using computational and immunoinformatics approaches to cancer diagnostics and therapeutic efforts. In the current article, we review various components of cancer immunoinformatics applied to a series of fields of cancer research, including computational tools for cancer mutation detection, cancer mutation and immunological databases, and computational vaccinology.
Keyphrases
  • papillary thyroid
  • squamous cell
  • healthcare
  • squamous cell carcinoma
  • preterm infants
  • dna methylation
  • genome wide
  • artificial intelligence
  • high throughput
  • copy number
  • real time pcr