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REDHORSE Package
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| Find double crossovers | Index of Utilities Analytical Pipeline | The
merged allele file which contains nucleotide information of parents as
well as hybrids not only facilitates comparison of hybrids against the
parents but also allows detection of double crossovers with reasonable
accuracy because of presence of physical location of the markers. The
recombination detection algorithm in REDHORSE employs an iterative
procedure to find recombinations and double crossovers
Prerequisites1) Generate Input Data 2) Find Alleles 3) List Alleles 4) Find SNVs 5) Filter SNVs in close proximity (optional) 6) Consolidate SNVs (optional) 7) Generate a merged allele file 8) Retain biallelic loci and filter out loci with lots of missing data (optional)
How to run it?REDHORSE
takes the merged allele file as input and finds double crossovers using findDoubleCrossovers utility of REDHORSE as follows:
java -jar REDHORSE.jar
findDoubleCrossovers -i
"Path2MergedAlleleFile" -o
"outputDoubleCrossoversDetected" -m 5 -n
9 -p 5000 -q 5
|
-i is merged allele file -o is the output file containing double crossovers -m is the column number that contains allele information of parent 1 in merged allele file -n is the column number that contains allele information of parent 2 in merged allele file -p is the maximum size of the doublecrossover region -q is the minimum number of markers supporting this doublecrossover region OutputThe output of the program is as follows:
sampleName
Chromosome strt
end numberofMarkers typeofSwitch P1_29VBSF_GCTTAGA
TGME49_chrVIIIorganism_Toxoplasma_gondii_ME49version_2012-08-28length_6970285
2716714 2717562
10 p1top2
sampleName is the name of the sample that had recombination, strt is the start position where double crossover started, end is the end position where double crossover ended, numberofMarkers is the number of markers supporting this region and typeofSwitch specifies if the hybrid switches from parent1 profile to parent2 profile or vice versa.
| Index of Utilities Analytical Pipeline |
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