Given a set of CC or DO founders, impute the genotypes or intensities of missing F1s.
● Data Source:
BioConductor
● Keywords:
● Alias: add.missing.F1s
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Given a set of thresholds, add the autosomal and X chromosome thresholds to an existing QTL plot. The user may call plot() and then this function, but plot.doqtl contains a 'sig.thr' argument and will call this automatically. The threhsolds can be obtained from get.sig.thr
● Data Source:
BioConductor
● Keywords: permutations, significance
● Alias: add.sig.thr
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If the argument does not end with a forward slash, add one.
● Data Source:
BioConductor
● Keywords:
● Alias: add.slash
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When two numbers that are on the log scale must be summed, transforming them back to the non-log scale and taking the sum is slow. This function takes the exp() of the values only when neccessary.
● Data Source:
BioConductor
● Keywords:
● Alias: addLog
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When a summation must be taken on a vector of numbers that are on the log scale, transforming them back to the non-log scale and taking the sum is slow. This function takes the exp() of the values only when neccessary.
● Data Source:
BioConductor
● Keywords:
● Alias: addLogVector
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Given the phenotypes and genotype probabilities, impute the Sanger SNPs onto DO genomes and perform association mapping.
● Data Source:
BioConductor
● Keywords: association, qtl, sanger
● Alias: assoc.map, assoc.map.perms
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After performing association mapping using assoc.map , plot the mapping statistic along with genes in the QTL interval.
● Data Source:
BioConductor
● Keywords: association, qtl
● Alias: assoc.plot
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Not intended for external use.
● Data Source:
BioConductor
● Keywords: internal
● Alias: assoc.scan1
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Not intended for external use.
● Data Source:
BioConductor
● Keywords: internal
● Alias: assoc.scan2
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bayesint
(Package: DOQTL) :
Find a Bayesian Credible Interval around a QTL.
This function normalizes the area under the QTL curve on the given chromosome and finds a region that is 95
● Data Source:
BioConductor
● Keywords: QTL
● Alias: bayesint
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