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rSWeeP: A R/Bioconductor package deal with SWeeP sequences representation
Danrley R. Fernandes; Mariane G. Kulik; Diogo J. S. Machado; Jeroniza N. Marchaukoski; Fabio O. Pedrosa; Camilla R. De Pierri; Roberto Tadeu Raittz.
Affiliation
  • Danrley R. Fernandes; Federal University of Parana
  • Mariane G. Kulik; Federal University of Parana
  • Diogo J. S. Machado; Federal University of Parana
  • Jeroniza N. Marchaukoski; Federal University of Parana
  • Fabio O. Pedrosa; Federal University of Parana
  • Camilla R. De Pierri; Federal University of Paran
  • Roberto Tadeu Raittz; Federal University of Parana
Preprint in English | bioRxiv | ID: ppbiorxiv-290247
ABSTRACT
The rSWeeP package is an R implementation of the SWeeP model, designed to handle Big Data. rSweeP meets to the growing demand for efficient methods of heuristic representation in the field of Bioinformatics, on platforms accessible to the entire scientific community. We explored the implementation of rSWeeP using a dataset containing 31,386 viral proteomes, performing phylogenetic and principal component analysis. As a case study we analyze the viral strains closest to the SARS-CoV, responsible for the current pandemic of COVID-19, confirming that rSWeeP can accurately classify organisms taxonomically. rSWeeP package is freely available at https//bioconductor.org/packages/release/bioc/html/rSWeeP.html.
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Full text: Available Collection: Preprints Database: bioRxiv Language: English Year: 2020 Document type: Preprint
Full text: Available Collection: Preprints Database: bioRxiv Language: English Year: 2020 Document type: Preprint
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