It is frequently estimated from genetic polymorphism data, such as single-nucleotide polymorphisms (SNP) or microsatellites. Nucleotide diversity is based on single mutations called single nucleotide polymorphisms (SNPs). Nucleotide diversity is based on single mutations, single nucleotide polymorphisms (SNPs). Common uses of bioinformatics include the identification of candidates genes and single nucleotide polymorphisms (SNPs). Single-nucleotide polymorphisms (SNPs) do not occur homogeneously across the human genome. There are several human polymorphisms associated with this gene. Specific single nucleotide polymorphisms (SNP) can be identified using this technique. Single mistakes are called single nucleotide polymorphisms (SNPs). Four distinct clades separated by tens of thousands of single-nucleotide polymorphisms were identified. Many people within a haplogroup share a type of mutation called single-nucleotide polymorphisms (SNPs). These changes are known as single-nucleotide polymorphisms or SNPs. Approximately two out of three single nucleotide polymorphisms (SNPs) are transitions. This is simply the lesser of the two allele frequencies for single-nucleotide polymorphisms. Furthermore, many positions in a genome contain rare single-nucleotide polymorphisms (SNPs). The single-nucleotide polymorphisms (SNPs) in this region are used to trace direct paternal ancestral lines.