Signal processing based CNV detection in bacterial genomes
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F19%3APU132855" target="_blank" >RIV/00216305:26220/19:PU132855 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-030-17938-0_9" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-030-17938-0_9</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-17938-0_9" target="_blank" >10.1007/978-3-030-17938-0_9</a>
Alternative languages
Result language
angličtina
Original language name
Signal processing based CNV detection in bacterial genomes
Original language description
Copy number variation (CNV) plays important role in drug resistance in bacterial genomes. It is one of the prevalent forms of structural variations which leads to duplications or deletions of regions with varying size across the genome. So far, most studies were concerned with CNV in eukaryotic, mainly human, genomes. The traditional laboratory methods as microarray genome hybridization or genotyping methods are losing its effectiveness with the omnipotent increase of fully sequenced genomes. Methods for CNV detection are predominantly targeted at eukaryotic sequencing data and only a few of tools is available for CNV detection in prokaryotic genomes. In this paper, we propose the CNV detection algorithm derived from state-of-the-art methods for peaks detection in the signal processing domain. The modified method of GC normalization with higher resolution is also presented for the needs of the CNV detection. The performance of the algorithms are discussed and analyzed.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20602 - Medical laboratory technology (including laboratory samples analysis; diagnostic technologies) (Biomaterials to be 2.9 [physical characteristics of living material as related to medical implants, devices, sensors])
Result continuities
Project
<a href="/en/project/GA17-01821S" target="_blank" >GA17-01821S: High throughput bacterial genome assembly and annotation techniques using genomic signal processing</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Bioinformatics and Biomedical Engineering. IWBBIO 2019.
ISBN
978-3-030-17937-3
ISSN
0302-9743
e-ISSN
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Number of pages
10
Pages from-to
93-102
Publisher name
Springer Verlag
Place of publication
Granada, Spain
Event location
Granada
Event date
May 8, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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