aflpdat : a collection of r functions for convenient handling of AFLP data
Dorothée Ehrich
Abstract
Dorothée Ehrich
Abstract
Abstract aflpdat is a collection of R functions that facilitates the handling of dominant genotypic data. It converts data from a standard tab‐separated table to the input formats of the following programs: arlequin, structure, treecon, paup and hickory. In addition, it calculates the proportion of polymorphic markers in each population, and estimates gene diversity as the average proportion of pairwise differences between individuals with confidence intervals based on bootstrapping across markers. It also produces summary tables of marker frequencies and the presence or absence of markers in each population. aflpdat can be downloaded from http://www.nhm.uio.no/ncb/ .
OpenAlex reports 440 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Abstract aflpdat is a collection of R functions that facilitates the handling of dominant genotypic data. It converts data from a standard tab‐separated table to the input formats of the following programs: arlequin, structure, treecon, paup and hickory. In addition, it calculates the proportion of polymorphic markers in each population, and estimates gene diversity as the average proportion of pairwise differences between individuals with confidence intervals based on bootstrapping across markers. It also produces summary tables of marker frequencies and the presence or absence of markers in each population. aflpdat can be downloaded from http://www.nhm.uio.no/ncb/ .
Key concepts: Bootstrapping (finance), Population, Table (database), Biology, Confidence interval, Pairwise comparison, Amplified fragment length polymorphism, Statistics