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HIV-1 full-genome phylogenetics of generalized epidemics in sub-Saharan Africa: impact of missing nucleotide characters in next-generation sequences

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NIAID Data Ecosystem2026-03-10 收录
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https://figshare.com/articles/dataset/HIV-1_full-genome_phylogenetics_of_generalized_epidemics_in_sub-Saharan_Africa_impact_of_missing_nucleotide_characters_in_next-generation_sequences/5056837
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Simulation studies were conducted to characterise the implications of missing nucleotide characters in PANGEA-HIV sequences on tree reconstruction accuracy. An individual-level transmission model was used to generate regional HIV-1 epidemics, as well as corresponding HIV-1 phylogenies and full genome sequences. Each simulated sequence was paired at random with a PANGEA-HIV sequence, and missing nucleotide patterns of PANGEA-HIV sequences were superimposed onto the simulated sequences. This data contains the simulated sequence alignments, and might be useful to benchmark tree reconstruction tools.
创建时间:
2017-05-31
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