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selectSNPs (version 1.0.1)

Optimal Selection of SNPs Using a Unified Local Function

Description

Applies a unified local function to select SNPs for low-density SNPs. The method is described in Wu et al. (2020) . Briefly, the local function gives different weights to the uniformity (U score) and average Shannon entropy (E score), depending on the inputs of the weights, thus facilitating SNP designs under varied scenarios for low-density SNP chips, including selecting uniformly-distributed SNPs or SNPs with the highest minor allele frequencies. This is an educational version. For more information about this package, please contact Dr. Nick Wu.

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Version

Install

install.packages('selectSNPs')

Monthly Downloads

4

Version

1.0.1

License

GPL-3

Maintainer

Nick Wu

Last Published

February 28th, 2020

Functions in selectSNPs (1.0.1)

as.Map

Convert a Data Frame to a Map Object.
summary

Summary statiscs for a Map object.
scoreU

Compute the Uniformness(U) score
selectLocalOptimalSNPs

Select locally-optimized SNPs on one or more chromosomes
scoreE

Compute the E score
scoreLocal

Compute the weighted local score
newMap

Create a new Map object.
Chrom

The Chromosome class
Locus

The Locus class
bov80K

A Map object with 80K bovine SNPs
numberOfLoci

Extract the number of loci on each chromosome
as.data.frame

Convert a Map Object to a Data Frame
Map

The Map class
namesOfChrom

Extract chromosome indexes or names
plotMap

Plotting a Map object.