7 research outputs found
MOESM3 of Reduced-representation sequencing identifies small effective population sizes of Anopheles gambiae in the north-western Lake Victoria basin, Uganda
Additional file 3: Table S3. Kinship coefficient estimates and percentage missing data values per individual
MOESM6 of Reduced-representation sequencing identifies small effective population sizes of Anopheles gambiae in the north-western Lake Victoria basin, Uganda
Additional file 6: Figure S2. ADMIXTURE bar plot of chromosome 2L SNPs (K = 2) showing probable ancestry fractions of the six An. gambiae populations (N = 79) based on the 2La inversion
MOESM7 of Reduced-representation sequencing identifies small effective population sizes of Anopheles gambiae in the north-western Lake Victoria basin, Uganda
Additional file 7: Figure S3. Generalized linear model plot of genetic differentiation against log geographic distance based on median FST
MOESM4 of Reduced-representation sequencing identifies small effective population sizes of Anopheles gambiae in the north-western Lake Victoria basin, Uganda
Additional file 4: Table S4. Chromosome 2L inversion molecular karyotype results
MOESM5 of Reduced-representation sequencing identifies small effective population sizes of Anopheles gambiae in the north-western Lake Victoria basin, Uganda
Additional file 5: Figure S1. (a–d) PCA plots of An. gambiae chromosomes not shown in the main text
MOESM2 of Reduced-representation sequencing identifies small effective population sizes of Anopheles gambiae in the north-western Lake Victoria basin, Uganda
Additional file 2: Table S2. Bioinformatics pipeline detailing software programs and parameters used in the analysis of RADseq genomic data
MOESM1 of Reduced-representation sequencing identifies small effective population sizes of Anopheles gambiae in the north-western Lake Victoria basin, Uganda
Additional file 1: Table S1. GPS co-ordinates and distances between entomological sampling sites