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Using the pairwise haplotype sharing score (PHS) as criterion to identify regions with signs of recent selection, five candidate selective sweep regions, SR1 through SR5 were identified.
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We used the pairwise haplotype sharing score (PHS), which was previously applied to A. thaliana data [ 10].
For these 34 haplotypes a distance matrix was computed using the pairwise haplotypic difference (that is, for any two haplotypes, the sum of the difference between the allele size over the nine loci).
We approximate the ancestral relationships of haplotypes by constructing a neighbor-joining phylogenetic tree (Saitou and Nei 1987), using the pairwise Hamming distance matrix between the haplotypes in a study sample.
Analysis of molecular variance (AMOVA; Excoffier et al. [ 64]) and diversity index calculations were performed with the AREQUIN 2.000 software [ 65] using pairwise haplotypes distance as the distance measure.
Haplotypes were estimated using the software HAPLORE (HAPLOtype REconstruction) [ 25].
Haplotype frequencies were estimated pairwise across the FCGR locus using the Estimating Haplotypes PLUS (EHPLUS) program [ 33], which also calculates the empirical significance (P value) of overall linkage disequilibrium.
The 4-Gamete test was run setting the cutoff for frequency of the fourth pairwise haplotype at 1% [ 30, 31].
We used the known haplotypes directly as the answer haplotypes.
To measure the extent of linkage disequilibrium between any pairwise markers, we first inferred phase and reconstructed haplotypes using the PHASE software (http://www.stat.washington. edu/stephens/phase.html) developed by Stephens et al, 2001).
Corrected average pairwise genetic sequence (using the best fit model for the COI dataset, TVM+G) between haplotypes were used in all divergence time estimates.
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