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The complexity landscape of viral genomes.

Jorge Miguel SilvaDiogo PratasTânia Sousa CaetanoSérgio Matos
Published in: GigaScience (2022)
This article presents methodologies and findings that are highly relevant for understanding the patterns of similarity and singularity between viral groups, opening new frontiers for studying viral genomes' organization while depicting the complexity trends and classification components of these genomes at different taxonomic levels. The whole study is supported by an extensive website (https://asilab.github.io/canvas/) for comprehending the viral genome characterization using dynamic and interactive approaches.
Keyphrases
  • sars cov
  • machine learning
  • deep learning
  • gene expression
  • single cell
  • genome wide