Reference-free phylogeny from sequencing data
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F23%3A00365342" target="_blank" >RIV/68407700:21230/23:00365342 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1186/s13040-023-00329-x" target="_blank" >https://doi.org/10.1186/s13040-023-00329-x</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1186/s13040-023-00329-x" target="_blank" >10.1186/s13040-023-00329-x</a>
Alternative languages
Result language
angličtina
Original language name
Reference-free phylogeny from sequencing data
Original language description
Motivation Clustering of genetic sequences is one of the key parts of bioinformatics analyses. Resulting phylogenetic trees are beneficial for solving many research questions, including tracing the history of species, studying migration in the past, or tracing a source of a virus outbreak. At the same time, biologists provide more data in the raw form of reads or only on contig-level assembly. Therefore, tools that are able to process those data without supervision need to be developed. Results In this paper, we present a tool for reference-free phylogeny capable of handling data where no mature-level assembly is available. The tool allows distance calculation for raw reads, contigs, and the combination of the latter. The tool provides an estimation of the Levenshtein distance between the sequences, which in turn estimates the number of mutations between the organisms. Compared to the previous research, the novelty of the method lies in a newly proposed combination of the read and contig measures, a new method for read-contig mapping, and an efficient embedding of contigs.
Czech name
—
Czech description
—
Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/EF16_019%2F0000765" target="_blank" >EF16_019/0000765: Research Center for Informatics</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
BioData Mining
ISSN
1756-0381
e-ISSN
—
Volume of the periodical
2023
Issue of the periodical within the volume
16
Country of publishing house
GB - UNITED KINGDOM
Number of pages
20
Pages from-to
—
UT code for WoS article
000957539200001
EID of the result in the Scopus database
2-s2.0-85151333193