Research output: Contribution to journal › Article › peer-review
SmileFinder: A resampling-based approach to evaluate signatures of selection from genome-wide sets of matching allele frequency data in two or more diploid populations. / Guiblet, W.M.; Zhao, K.; O'Brien, S.J.; Massey, S.E.; Roca, A.L.; Oleksyk, T.K.
In: GigaScience, No. 1, 2015, p. None.Research output: Contribution to journal › Article › peer-review
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TY - JOUR
T1 - SmileFinder: A resampling-based approach to evaluate signatures of selection from genome-wide sets of matching allele frequency data in two or more diploid populations
AU - Guiblet, W.M.
AU - Zhao, K.
AU - O'Brien, S.J.
AU - Massey, S.E.
AU - Roca, A.L.
AU - Oleksyk, T.K.
PY - 2015
Y1 - 2015
N2 - © 2015 Guiblet et al.Background: Adaptive alleles may rise in frequency as a consequence of positive selection, creating a pattern of decreased variation in the neighboring loci, known as a selective sweep. When the region containing this pattern is compared to another population with no history of selection, a rise in variance of allele frequencies between populations is observed. One challenge presented by large genome-wide datasets is the ability to differentiate between patterns that are remnants of natural selection from those expected to arise at random and/or as a consequence of selectively neutral demographic forces acting in the population. Findings: SmileFinder is a simple program that looks for diversity and divergence patterns consistent with selection sweeps by evaluating allele frequencies in windows, including neighboring loci from two or more populations of a diploid species against the genome-wide neutral expectation. The program calculates the mean of heterozygosity and FST in a set of slidi
AB - © 2015 Guiblet et al.Background: Adaptive alleles may rise in frequency as a consequence of positive selection, creating a pattern of decreased variation in the neighboring loci, known as a selective sweep. When the region containing this pattern is compared to another population with no history of selection, a rise in variance of allele frequencies between populations is observed. One challenge presented by large genome-wide datasets is the ability to differentiate between patterns that are remnants of natural selection from those expected to arise at random and/or as a consequence of selectively neutral demographic forces acting in the population. Findings: SmileFinder is a simple program that looks for diversity and divergence patterns consistent with selection sweeps by evaluating allele frequencies in windows, including neighboring loci from two or more populations of a diploid species against the genome-wide neutral expectation. The program calculates the mean of heterozygosity and FST in a set of slidi
U2 - 10.1186/2047-217X-4-1
DO - 10.1186/2047-217X-4-1
M3 - Article
SP - None
JO - GigaScience
JF - GigaScience
SN - 2047-217X
IS - 1
ER -
ID: 4012130