Matches in SemOpenAlex for { <https://semopenalex.org/work/W2898882008> ?p ?o ?g. }
Showing items 1 to 84 of
84
with 100 items per page.
- W2898882008 endingPage "9" @default.
- W2898882008 startingPage "1" @default.
- W2898882008 abstract "Nucleotide skew analysis is a versatile method to study the nucleotide composition of RNA/DNA molecules, in particular to reveal characteristic sequence signatures. For instance, skew analysis of the nucleotide bias of several viral RNA genomes indicated that it is enriched in the unpaired, single-stranded genome regions, thus creating an even more striking virus-specific signature. The comparison of skew graphs for many virus isolates or families is difficult, time-consuming, and nonquantitative. Here, we present a procedure for a more simple identification of similarities and dissimilarities between nucleotide skew data of coronavirus, flavivirus, picornavirus, and HIV-1 RNA genomes. Window and step sizes were normalized to correct for differences in length of the viral genome. Cumulative skew data are converted into pairwise Euclidean distance matrices, which can be presented as neighbor-joining trees. We present skew value trees for the four virus families and show that closely related viruses are placed in small clusters. Importantly, the skew value trees are similar to the trees constructed by a “classical” model of evolutionary nucleotide substitution. Thus, we conclude that the simple calculation of Euclidean distances between nucleotide skew data allows an easy and quantitative comparison of characteristic sequence signatures of virus genomes. These results indicate that the Euclidean distance analysis of nucleotide skew data forms a nice addition to the virology toolbox." @default.
- W2898882008 created "2018-11-09" @default.
- W2898882008 creator A5019287445 @default.
- W2898882008 creator A5035430461 @default.
- W2898882008 creator A5046701390 @default.
- W2898882008 creator A5053625500 @default.
- W2898882008 creator A5058701331 @default.
- W2898882008 date "2018-10-30" @default.
- W2898882008 modified "2023-09-24" @default.
- W2898882008 title "Euclidean Distance Analysis Enables Nucleotide Skew Analysis in Viral Genomes" @default.
- W2898882008 cites W1977799803 @default.
- W2898882008 cites W2000772900 @default.
- W2898882008 cites W2012249377 @default.
- W2898882008 cites W2025009249 @default.
- W2898882008 cites W2067127476 @default.
- W2898882008 cites W2071506236 @default.
- W2898882008 cites W2074434214 @default.
- W2898882008 cites W2082903017 @default.
- W2898882008 cites W2104401897 @default.
- W2898882008 cites W2122798331 @default.
- W2898882008 cites W2157358322 @default.
- W2898882008 cites W2311203695 @default.
- W2898882008 cites W2417918338 @default.
- W2898882008 cites W2431006159 @default.
- W2898882008 cites W2518183482 @default.
- W2898882008 doi "https://doi.org/10.1155/2018/6490647" @default.
- W2898882008 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6232797" @default.
- W2898882008 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30510593" @default.
- W2898882008 hasPublicationYear "2018" @default.
- W2898882008 type Work @default.
- W2898882008 sameAs 2898882008 @default.
- W2898882008 citedByCount "6" @default.
- W2898882008 countsByYear W28988820082019 @default.
- W2898882008 countsByYear W28988820082020 @default.
- W2898882008 countsByYear W28988820082022 @default.
- W2898882008 crossrefType "journal-article" @default.
- W2898882008 hasAuthorship W2898882008A5019287445 @default.
- W2898882008 hasAuthorship W2898882008A5035430461 @default.
- W2898882008 hasAuthorship W2898882008A5046701390 @default.
- W2898882008 hasAuthorship W2898882008A5053625500 @default.
- W2898882008 hasAuthorship W2898882008A5058701331 @default.
- W2898882008 hasBestOaLocation W28988820081 @default.
- W2898882008 hasConcept C104317684 @default.
- W2898882008 hasConcept C141231307 @default.
- W2898882008 hasConcept C41008148 @default.
- W2898882008 hasConcept C43711488 @default.
- W2898882008 hasConcept C54355233 @default.
- W2898882008 hasConcept C67705224 @default.
- W2898882008 hasConcept C70721500 @default.
- W2898882008 hasConcept C76155785 @default.
- W2898882008 hasConcept C86803240 @default.
- W2898882008 hasConceptScore W2898882008C104317684 @default.
- W2898882008 hasConceptScore W2898882008C141231307 @default.
- W2898882008 hasConceptScore W2898882008C41008148 @default.
- W2898882008 hasConceptScore W2898882008C43711488 @default.
- W2898882008 hasConceptScore W2898882008C54355233 @default.
- W2898882008 hasConceptScore W2898882008C67705224 @default.
- W2898882008 hasConceptScore W2898882008C70721500 @default.
- W2898882008 hasConceptScore W2898882008C76155785 @default.
- W2898882008 hasConceptScore W2898882008C86803240 @default.
- W2898882008 hasLocation W28988820081 @default.
- W2898882008 hasLocation W28988820082 @default.
- W2898882008 hasLocation W28988820083 @default.
- W2898882008 hasLocation W28988820084 @default.
- W2898882008 hasLocation W28988820085 @default.
- W2898882008 hasOpenAccess W2898882008 @default.
- W2898882008 hasPrimaryLocation W28988820081 @default.
- W2898882008 hasRelatedWork W1828691184 @default.
- W2898882008 hasRelatedWork W2002128513 @default.
- W2898882008 hasRelatedWork W2020288102 @default.
- W2898882008 hasRelatedWork W2039641900 @default.
- W2898882008 hasRelatedWork W2112463916 @default.
- W2898882008 hasRelatedWork W2905474975 @default.
- W2898882008 hasRelatedWork W3037403499 @default.
- W2898882008 hasRelatedWork W3040132961 @default.
- W2898882008 hasRelatedWork W3045602028 @default.
- W2898882008 hasRelatedWork W3187879072 @default.
- W2898882008 hasVolume "2018" @default.
- W2898882008 isParatext "false" @default.
- W2898882008 isRetracted "false" @default.
- W2898882008 magId "2898882008" @default.
- W2898882008 workType "article" @default.