Hi,
I am hoping someone can point me towards a program that can calculate recombination bin sizes in a recombinant inbred line population.
I have a linkage map for this population and the genotype data. Now I'd like to see where the recombinations occur and how big or small the bins are. I used the R package hsphase to visualize the recombination blocks but unfortunately this package does not seem to have a function to calculate the bin sizes.
I also see a couple of papers using Mapmaker 3.0 for this but the documentation seems to be rather not well-elucidating for this particular problem. I would greatly appreciate any help. Thank you all.
1 answer
Answering my question myself so this may help others in the future.
I found a paper "An ultra-high-density bin map facilitates high-throughput QTL mapping of horticultural traits in pepper (Capsicum annuum)" published earlier this year. Download the word file from supplementary section (http://dnaresearch.oxfordjournals.org/content/early/2016/01/06/dnares.dsv038/suppl/DC1). The word file contains a brief guide and three python scripts; the first script calculates bin sizes.
When formatting your input data, format it as:
marker position Ind1 Ind2 . . Indn-1 Indn
SNP1 0.1 A A . . B B
SNP2 0.7 B B . . A A
. . A A . . B B
. . B A . . A A
SNPn n B B . . B B
Basically, first column has marker names; 2nd column has the positions (either bp or cM and you can choose which one in the script); and the remaining columns have the genotype data.
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