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    Additional file 9: of HIV-1 and HIV-2 exhibit similar mutation frequencies...

    • springernature.figshare.com
    xlsx
    Updated Jun 7, 2023
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    Jonathan Rawson; Sean Landman; Cavan Reilly; Louis Mansky (2023). Additional file 9: of HIV-1 and HIV-2 exhibit similar mutation frequencies and spectra in the absence of G-to-A hypermutation [Dataset]. http://doi.org/10.6084/m9.figshare.c.3597251_D8.v1
    Explore at:
    xlsxAvailable download formats
    Dataset updated
    Jun 7, 2023
    Dataset provided by
    figshare
    Authors
    Jonathan Rawson; Sean Landman; Cavan Reilly; Louis Mansky
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Table S4. Identification of G-to-A hypermutation hotspots in HIV-1 and HIV-2. G-to-A hypermutation hotspots were identified as statistical upper outliers according to the 1.5Â Ă—Â IQR rule. For each hotspot, the relative ranking, position, dinucleotide context, mutation frequency, and coding effects are indicated.

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Jonathan Rawson; Sean Landman; Cavan Reilly; Louis Mansky (2023). Additional file 9: of HIV-1 and HIV-2 exhibit similar mutation frequencies and spectra in the absence of G-to-A hypermutation [Dataset]. http://doi.org/10.6084/m9.figshare.c.3597251_D8.v1

Additional file 9: of HIV-1 and HIV-2 exhibit similar mutation frequencies and spectra in the absence of G-to-A hypermutation

Related Article
Explore at:
xlsxAvailable download formats
Dataset updated
Jun 7, 2023
Dataset provided by
figshare
Authors
Jonathan Rawson; Sean Landman; Cavan Reilly; Louis Mansky
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

Table S4. Identification of G-to-A hypermutation hotspots in HIV-1 and HIV-2. G-to-A hypermutation hotspots were identified as statistical upper outliers according to the 1.5Â Ă—Â IQR rule. For each hotspot, the relative ranking, position, dinucleotide context, mutation frequency, and coding effects are indicated.

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