Here, I describe the R package snpfiltr and demonstrate its functionality as the backbone of
a customizable, reproducible single nucleotide polymorphism (SNP) filtering pipeline …

Sequencing reduced‐representation libraries of restriction site‐associated DNA (RAD seq)
to identify single nucleotide polymorphisms (SNP s) is quickly becoming a standard …

SNP data sets can be used to infer a wealth of information about natural populations,
including information about their structure, genetic diversity, and the presence of loci under …

The analysis of genomic data can be an intimidating process, particularly for researchers
who are not experienced programmers. Commonly used analyses are spread across many …

Although vast technological advances have been made and genetic software packages are
growing in number, it is not a trivial task to analyse SNP data. We announce a new r …

Population genomics is a fast‐developing discipline with promising applications in a
growing number of life sciences fields. Advances in sequencing technologies and …

Background Modern analysis of high-dimensional SNP data requires a number of
biometrical and statistical methods such as pre-processing, analysis of population structure …

Background High levels of pairwise linkage disequilibrium (LD) in single nucleotide
polymorphism (SNP) array or whole-genome sequence data may affect both performance …

Advances in genetic sequencing technologies and techniques have made large, genome‐
wide data sets comprised of hundreds or even thousands of individuals and loci the norm …

High-throughput next-generation sequence-based genotyping and single nucleotide
polymorphism (SNP) detection opens the door for emerging genomics-based breeding …