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1 Ergebnisse
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Cluster map of motif occurrence frequency according to SARS..:
Dylan Lebatteux
;
Hugo Soudeyns
;
Isabelle Boucoiran
..
doi:10.1371/journal.pone.0296627.g004. , 2024
Link:
https://doi.org/10.1371/journal.pone.0296627.g004
RT Journal T1
Cluster map of motif occurrence frequency according to SARS-CoV-2 variants
UL https://suche.suub.uni-bremen.de/peid=base-ftgriffithunifig:oai:figshare.com:article_25031189&Exemplar=1&LAN=DE A1 Dylan Lebatteux A1 Hugo Soudeyns A1 Isabelle Boucoiran A1 Soren Gantt A1 Abdoulaye Baniré Diallo YR 2024 K1 Biochemistry K1 Medicine K1 Microbiology K1 Genetics K1 Evolutionary Biology K1 Infectious Diseases K1 Virology K1 Biological Sciences not elsewhere classified K1 Mathematical Sciences not elsewhere classified K1 standard statistical tools K1 polymorphic gene products K1 pathological impact based K1 known mutations among K1 div >< p K1 analyzed large sars K1 2 genome dataset K1 viral genome K1 mutations involved K1 approach based K1 source code K1 several gold K1 phylogenetic studies K1 pervasive motifs K1 new extension K1 minimal sets K1 learning kernel K1 k </ K1 identifying variant K1 highlight variations K1 genomic location K1 genetic algorithm K1 comparative study K1 characterized using K1 allow discrimination K1 additional resources K1 >- mers K1 2 variant JF doi:10.1371/journal.pone.0296627.g004 LK http://dx.doi.org/https://doi.org/10.1371/journal.pone.0296627.g004 DO https://doi.org/10.1371/journal.pone.0296627.g004 SF ELIB - SuUB Bremen
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