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HACSim: Iterative Extrapolation of Species' Haplotype Accumulation Curves for Genetic Diversity Assessment
Performs iterative extrapolation of species' haplotype accumulation curves using a nonparametric stochastic (Monte Carlo) optimization method for assessment of specimen sampling completeness based on the approach of Phillips et al. (2015) <doi:10.1515/dna-2015-0008>, Phillips et al. (2019) <doi:10.1002/ece3.4757> and Phillips et al. (2020) <doi: 10.7717/peerj-cs.243>. 'HACSim' outputs a number of useful summary statistics of sampling coverage ("Measures of Sampling Closeness"), including an estimate of the likely required sample size (along with desired level confidence intervals) necessary to recover a given number/proportion of observed unique species' haplotypes. Any genomic marker can be targeted to assess likely required specimen sample sizes for genetic diversity assessment. The method is particularly well-suited to assess sampling sufficiency for DNA barcoding initiatives. Users can also simulate their own DNA sequences according to various models of nucleotide substitution. A Shiny app is also available.
Getting started
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Package details |
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| Author | Jarrett D. Phillips [aut, cre], Steven H. French [ctb], Navdeep Singh [ctb] |
| Maintainer | Jarrett D. Phillips <phillipsjarrett1@gmail.com> |
| License | GPL-3 |
| Version | 1.0.6-1 |
| URL | <https://github.com/jphill01/HACSim.R> <https://github.com/jphill01/HACSim-RShiny-App> <https://jphill01.shinyapps.io/HACSim> |
| Package repository | View on CRAN |
| Installation |
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