English

Application of Markov Structure of Genomes to Outlier Identification and Read Classification

Genomics 2021-12-28 v1 Machine Learning Machine Learning

Abstract

In this paper we apply the structure of genomes as second-order Markov processes specified by the distributions of successive triplets of bases to two bioinformatics problems: identification of outliers in genome databases and read classification in metagenomics, using real coronavirus and adenovirus data.

Keywords

Cite

@article{arxiv.2112.13117,
  title  = {Application of Markov Structure of Genomes to Outlier Identification and Read Classification},
  author = {Alan F. Karr and Jason Hauzel and Adam A. Porter and Marcel Schaefer},
  journal= {arXiv preprint arXiv:2112.13117},
  year   = {2021}
}