Please use this identifier to cite or link to this item: https://dspace.ctu.edu.vn/jspui/handle/123456789/81698
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dc.contributor.authorLe, Sy Vinh-
dc.date.accessioned2022-09-13T01:22:19Z-
dc.date.available2022-09-13T01:22:19Z-
dc.date.issued2021-
dc.identifier.issn1813-9663-
dc.identifier.urihttps://dspace.ctu.edu.vn/jspui/handle/123456789/81698-
dc.description.abstractModeling amino acid substitution process is a core task in bioinformatics. New advanced sequencing technologies have generated huge datasets including whole genomes from various species. Estimating amino acid substitution models from whole genome datasets provides us unprecedented opportunities to accurately investigate relationships among species. In this paper, we review state-of-the-art computational methods to estimate amino acid substitution models from large datasets. We also describe a comprehensive pipeline to practically estimate amino acid models from whole genome datasets. Finally, we apply amino acid substitution models to build phylogenomic trees from bird and plant genome datasets. We compare our newly reconstructed phylogenomic trees and published ones and discuss new findings.vi_VN
dc.language.isoenvi_VN
dc.relation.ispartofseriesJournal of Computer Science and Cybernetics;Vol.37, No.04 .- P.351–363-
dc.subjectEvolutionary analysisvi_VN
dc.subjectAmino acid substitution modelsvi_VN
dc.subjectProtein analysisvi_VN
dc.subjectGenome analysisvi_VN
dc.subjectMaximum likelihood estimationvi_VN
dc.titleModeling amino acid substitutions for whole genomesvi_VN
dc.typeArticlevi_VN
Appears in Collections:Tin học và Điều khiển học (Journal of Computer Science and Cybernetics)

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