you'll need to add more detail. Presumably those are genotypes. Do you have cases and controls? How many samples? What does random mean to you? If they all have the reference genotype 0/0, that is definitely non-random, but probably not interesting.
<p>Hi all,</p> <p>I am working with a very poorly assembled genome (~450,000 scaffolds, max. scaffold length ~250,000 bp) and using a scaffold map I am …
you'll need to add more detail. Presumably those are genotypes. Do you have cases and controls? How many samples? What does random mean to you? If they all have the reference genotype 0/0, that is definitely non-random, but probably not interesting.
i have a genotype data and i do not have a case control . what i need just to test whether or not the data are randomely distrbuted or not.
A more accepted way to test for randomly segregating genotypes is the Hardy-Weinberg principle : http://en.wikipedia.org/wiki/Hardy–Weinberg_principle
the problem is the Hardy-Weinberg principle test just 2 alleles not 3 alleles and i have in my data 3
The concepts of Hardy-Weinberg extends to many alleles, take a look at the ABO blood group system (pg169) in Kent Holsinger's great book : http://darwin.eeb.uconn.edu/eeb348/lecture-notes/book.pdf
Please edit this question. It requires much more detail and error fixing (rationalization?) before anyone can answer it.