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Population-Sequencing as a Biomarker for Sample Characterization.

John P Jakupciak
Published in: Journal of biomarkers (2013)
Sequencing is accepted as the "gold" standard for genetic analysis and continues to be used as a validation and reference tool. The idea of using sequence analysis directly for sample characterization has been met with skepticism. However, herein, utility of direct use of sequencing to identify multiple genomes present in samples is presented and reviewed. All samples and "pure" isolates are populations of genomes. Population-Sequencing is the use of probabilistic matching tools in combination with large volumes of sequence information to identify genomes present, based on DNA analysis across entire genomes to determine genome assignments, to calculate confidence scores of major and minor genome content. Accurate genome identification from mixtures without culture purification steps can achieve phylogenetic classification by direct analysis of millions of DNA fragments. Genome sequencing data of mixtures can function as biomarkers for use to interrogate genetic content of samples and to establish a sample profile, inclusive of major and minor genome components, drill down to identify rare SNP and mutation events, compare relatedness of genetic content between samples, profile-to-profile, and provide a probabilistic or statistical scoring confidence for sample characterization and attribution. The application of Population-Sequencing will facilitate sample characterization and genome identification strategies.
Keyphrases
  • genome wide
  • single cell
  • dna methylation
  • ionic liquid
  • copy number
  • deep learning
  • cell free
  • single molecule
  • circulating tumor
  • healthcare
  • social media
  • artificial intelligence
  • health information