A new method for detecting signal regions in ordered sequences of real numbers, and application to viral genomic data
10.1371/journal.pone.0195763
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sg-nus-scholar.10635-1612352024-11-09T14:03:04Z A new method for detecting signal regions in ordered sequences of real numbers, and application to viral genomic data Gog J.R. Lever A.M.L. Skittrall J.P. MEDICINE Article controlled study gene sequence genetic conservation genomics Influenza virus Rotavirus signal detection signal processing statistical analysis virus genome algorithm biology computer simulation evolution genetic database genetic variation human procedures Algorithms Biological Evolution Computational Biology Computer Simulation Databases, Genetic Genetic Variation Genome, Viral Genomics Humans 10.1371/journal.pone.0195763 PLoS ONE 13 4 e0195763 2019-11-01T08:16:38Z 2019-11-01T08:16:38Z 2018 Article Gog J.R., Lever A.M.L., Skittrall J.P. (2018). A new method for detecting signal regions in ordered sequences of real numbers, and application to viral genomic data. PLoS ONE 13 (4) : e0195763. ScholarBank@NUS Repository. https://doi.org/10.1371/journal.pone.0195763 19326203 https://scholarbank.nus.edu.sg/handle/10635/161235 Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ Unpaywall 20191101 |
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Singapore Singapore |
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Article controlled study gene sequence genetic conservation genomics Influenza virus Rotavirus signal detection signal processing statistical analysis virus genome algorithm biology computer simulation evolution genetic database genetic variation human procedures Algorithms Biological Evolution Computational Biology Computer Simulation Databases, Genetic Genetic Variation Genome, Viral Genomics Humans |
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Article controlled study gene sequence genetic conservation genomics Influenza virus Rotavirus signal detection signal processing statistical analysis virus genome algorithm biology computer simulation evolution genetic database genetic variation human procedures Algorithms Biological Evolution Computational Biology Computer Simulation Databases, Genetic Genetic Variation Genome, Viral Genomics Humans Gog J.R. Lever A.M.L. Skittrall J.P. A new method for detecting signal regions in ordered sequences of real numbers, and application to viral genomic data |
| description |
10.1371/journal.pone.0195763 |
| author2 |
MEDICINE |
| author_facet |
MEDICINE Gog J.R. Lever A.M.L. Skittrall J.P. |
| format |
Article |
| author |
Gog J.R. Lever A.M.L. Skittrall J.P. |
| author_sort |
Gog J.R. |
| title |
A new method for detecting signal regions in ordered sequences of real numbers, and application to viral genomic data |
| title_short |
A new method for detecting signal regions in ordered sequences of real numbers, and application to viral genomic data |
| title_full |
A new method for detecting signal regions in ordered sequences of real numbers, and application to viral genomic data |
| title_fullStr |
A new method for detecting signal regions in ordered sequences of real numbers, and application to viral genomic data |
| title_full_unstemmed |
A new method for detecting signal regions in ordered sequences of real numbers, and application to viral genomic data |
| title_sort |
new method for detecting signal regions in ordered sequences of real numbers, and application to viral genomic data |
| publishDate |
2019 |
| url |
https://scholarbank.nus.edu.sg/handle/10635/161235 |
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1821209295817015296 |