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Now that we have a list with all comparisons for replicates (object: "replicates"), pools (object: "pools") and all samples together (allPoolsInOneComparison) we can begin filtering the samples. First idea is to filter by the following params

Usage

analyzer(
  SNPcomparison,
  minDepthPercentile = 0.1,
  maxDepthPercentile = 0.9,
  windowSize = 25000,
  bulkSize = 20,
  outlierFilt = "deltaSNP",
  filter_chr_list = NULL
)

Arguments

SNPcomparison

lower tenth percentile > quantile(sum of depth in both bulks, na.rm = T, probs = 0.1))

minDepthPercentile

sample depth - Half the min depth, Default: 0.9

maxDepthPercentile

depth: higher fifth percentile > quantile(sum of depth in both bulks, na.rm = T, probs = 0.95)), Default: 0.1

windowSize

PARAM_DESCRIPTION, Default: 25000

bulkSize

PARAM_DESCRIPTION, Default: 20

outlierFilt

see QTLseqR::runGprimeAnalysis, Default: 'deltaSNP'

filter_chr_list

list of chromosome names to exclude, Default: NULL

Value

A filtered dataframe

Details

DETAILS