The University of Adelaide
Browse
DOCUMENT
Sweep1_1-35.4-36.5_CLR+Zscore.top57.pdf (174.37 kB)
DOCUMENT
Sweep2_1-170.9-171.3_CLR+Zscore.top57.pdf (96.17 kB)
DOCUMENT
Sweep3_1-204.6-205_CLR+Zscore.top57.pdf (108.47 kB)
DOCUMENT
Sweep4_2-84.7-85.1_CLR+Zscore.top57.pdf (114.34 kB)
DOCUMENT
Sweep5_2-109.3-109.6_CLR+Zscore.top57.pdf (85.91 kB)
DOCUMENT
Sweep6_2-158.1-158.3_CLR+Zscore.top57.pdf (84.84 kB)
DOCUMENT
Sweep7_2-196.6-197_CLR+Zscore.top57.pdf (96.98 kB)
DOCUMENT
Sweep8_2-237.5-238.8_CLR+Zscore.top57.pdf (205.2 kB)
DOCUMENT
Sweep9_3-9.8-11_CLR+Zscore.top57.pdf (198.05 kB)
DOCUMENT
Sweep10_3-15.4-15.7_CLR+Zscore.top57.pdf (84.07 kB)
DOCUMENT
Sweep11_3-50.4-52.2_CLR+Zscore.top57.pdf (251.28 kB)
DOCUMENT
Sweep12_3-128.6-129.6_CLR+Zscore.top57.pdf (168.75 kB)
DOCUMENT
Sweep13_3-140.7-140.9_CLR+Zscore.top57.pdf (80.12 kB)
DOCUMENT
Sweep14_4-71.5-72.4_CLR+Zscore.top57.pdf (160.22 kB)
DOCUMENT
Sweep15_4-78.1-78.5_CLR+Zscore.top57.pdf (109.26 kB)
DOCUMENT
Sweep16_5-74.4-75_CLR+Zscore.top57.pdf (124.16 kB)
DOCUMENT
Sweep17_5-109.6-110.1_CLR+Zscore.top57.pdf (110.35 kB)
DOCUMENT
Sweep18_5-144.9-145.9_CLR+Zscore.top57.pdf (172.14 kB)
DOCUMENT
Sweep19_6-12.7-13.5_CLR+Zscore.top57.pdf (148.25 kB)
DOCUMENT
Sweep20_6-27.8-28.5_CLR+Zscore.top57.pdf (140.51 kB)
1/0
57 files

Supplementary data 1-57

figure
posted on 2022-09-05, 05:47 authored by Raymond ToblerRaymond Tobler, Christian Huber, Yassine SouilmiYassine Souilmi

Composite likelihood ratio (CLR) scores (grey line) from SweepFinder2 relative to genomic coordinates (x-axis) for the top 57 candidate sweeps. Scores from the sweep and adjacent regions 250kb either side of the sweep are shown (dashed lines demarcate sweep boundaries). Genes in the combined region are represented by colored boxes, with the color intensity indicating their Z scores. For each sweep, up to 10 genes with q values less than 0.01 are named. If more than 10 genes have q < 0.01, then the 10 genes with the highest aggregate Z score across all populations are reported. The SNP marker weights used to determine the selected haplotype for each sweep are shown in the top panel, with the SNPs used for the top 30, 50, and 100 markers indicated in the key.

Funding

Adaptation and diversification of the first peoples of Sahul

Australian Research Council

Find out more...

Palaeo-population genomics: studying adaptation using ancient human DNA

Australian Research Council

Find out more...

Using ancient microbiomes and genomes to reconstruct human history

Australian Research Council

Find out more...

History

Usage metrics

    The University of Adelaide

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC