Skip to content

A new decentralized alignment-free visualization tool for analyzing the segmented genome of a virus in feature spaces

Research output: Contribution to conferencePaperpeer-review

In this paper, we propose a novel approach to analyze and visualize genetic variation of a segmented genome of a virus in feature spaces embedded in IRp and/or higher feature spaces embedded in IRp′ ∋ p′ > p. The segmented genome of a virus is considered as a heterogeneous sequence-set with different mutation rates. In this approach, the dispersion maps of a virus are computed in a decentralized manner using an arbitrary set of substrings of specific length (e.g. 2-grams). The new approach is considered as new decentralized alignment-free visualization tool. The new decentralized alignment-free visualization tool, shows effectiveness in capturing and analyzing genetic variation that causes the genetic biodiversity of the segmented gnome of a virus. The new alignment-free visualization tool is expected to be a useful tool in biomedical sector, specifically with a network of mobile laboratories.
Original languageEnglish
Publication statusPublished - 8 Nov 2017
EventTechnical Computing Prague 2017 - Prague, Czech Republic
Duration: 8 Nov 2017 → …


ConferenceTechnical Computing Prague 2017
Abbreviated titleTCP2017
CountryCzech Republic
Period8/11/17 → …
Internet address


  • Paper

    Accepted author manuscript (Post-print), 1.27 MB, PDF document

Related information

Relations Get citation (various referencing formats)

ID: 8322428