Uphill, both ways, in the snow, without shoes … quite apt when thinking of the dark days, in the not too distant past, in which a separate input file was needed for each popgen analysis in order to use a handful of separate programs (often for idiosyncratic reasons).
Add a complex life cycle into the mix, such as an alternation between haploid and diploid free-living phases, and you can multiply the number of input files by two. Yet, then you’d have to maintain a list of programs that only were compatible with diploids and the ones that will take diploids and haploids, but separately.
The reality is that not all organisms fit nicely into a diploid-only or even haploid-only box.
When I began my PhD and my first foray into the population dynamics of haploid-diploid seaweeds, GenAlEx (Peakall and Smouse 2006, 2012) was a revelation in terms of ease of use. There was one input sheet (though still per ploidy) and it could be stored with all output sheets in the same, albeit massive, Excel file, reducing the seemingly endless array of individual input and output files.
As 2015 dawns, the brave new world of population genetic analyses in R may make the multiple popgen input files of yesteryear a relict, not unlike floppy disks or Beta-decks.
For population geneticists, and especially those with a penchant for organisms that don’t conform, R is a limitless palette with a much larger popgen repertoire than before.
Continue reading
Subscribe by email
Join 903 other subscribersMeta