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In light of the results obtained in the leishmaniasis study, we systemically surveyed the galectin-3 gene for SNPs in humans using the HAPMAP data (http://www.hapmap.org).hapmap.org
We then determined LD patterns for 500 kb regions around each of the two SNPs using the HapMap data for each ethnic group.
The numbers of segregating sites were fixed at the values obtained from the re-sequencing data, the population recombination rate parameter rho ( = 4Nr, where N is the population effective size and r the recombination rate between adjacent sites per generation) was assumed to be 0.24, based on published estimates [73] using the HapMap data for the genomic segment spanning the NAT2 gene.
htSNPs were selected for genotyping from within and 15 KB up- and down-stream of VEGF using the HapMap data for the samples of Northern and Western European ancestry (CEU samples: www.broad.mit.edu/mpg/haploview) and the Tagger utility of Haploview v3.2.
Using the HapMap data, they identified signatures of positive selection on one allele over another in recent evolutionary time.
Haplotype-tagging SNPs were selected using the HapMap data for Caucasians and the Tagger program (de Bakker et al. 2005).
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In the CEPH individuals used, the HapMap data [11] only report an SNP (rs1061810) in probe 8, that is located at position 15 in the probe and shows A/C variation for the CEPH individuals.
We then used the HapMap data for these SNPs to train a classifier.
We used the HapMap data to develop classifiers for predicting ancestral continent of origin and tested these classifiers on independent data sets.
We use the HapMap data and assign each SNP to a marker by choosing the marker with the highest correlation coefficient with the SNP.
Voight et al. used the HapMap data to detect signatures of positive selection in three different populations: east Asians (ASN), western Europeans (CEU), and sub-Sahara Africans (Yoruba – YRI).
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