: It allows you to compare the genetic diversity of a small population (e.g., 10 individuals) with a large one (e.g., 100 individuals) without bias [25]. 2. Required Tools and Setup
: It calculates the expected number of alleles if all your sample sizes were equal to the smallest sample in your study.
E(n̂i)=∑j=1k[1−(N−Njn)(Nn)]cap E open paren n hat sub i close paren equals sum from j equals 1 to k of open bracket 1 minus the fraction with numerator the 2 by 1 column matrix; Row 1: cap N minus cap N sub j, Row 2: n end-matrix; and denominator the 2 by 1 column matrix; cap N, n end-matrix; end-fraction close bracket is the total sample size and Njcap N sub j is the number of occurrences of the -th allele. : The resulting na.rar
is highly sensitive to sample size—larger samples naturally catch more rare alleles—scientists use (
: In computer vision, this is a method used for facial landmark detection to improve accuracy in extreme poses or occlusions. : It allows you to compare the genetic
If your "na.rar" file is not about genetics, it might refer to:
: Use the rarefaction formula to estimate the number of alleles at that standardized sample size: It uses the Kalinowski (2005) method to calculate
: The most common software for rarefaction. It uses the Kalinowski (2005) method to calculate allelic richness [25].
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