merge_samples | R Documentation |
Merge TSSs or TSRs by group or select samples.
merge_samples( experiment, data_type = c("tss", "tsr"), threshold = NULL, sample_sheet = NULL, merge_group = NULL, merge_list = NULL, max_distance = NULL, genome_assembly = NULL )
experiment |
TSRexploreR object. |
data_type |
Merge TSSs ('tss') or TSRs ('tsr'). |
threshold |
TSSs or TSRs with a score below this value will not be considered. |
sample_sheet |
A sample sheet data.frame or tab delimited file. Must have the columns 'sample_name', 'file_1', and 'file_2'. Additional meta-data columns can be added with sample information such as condition and batch. |
merge_group |
The name of the column in the sample sheet that has the factor levels to merge samples by. |
merge_list |
If merge_group is set to 'FALSE', specify what samples to merge in list format. List names will be the new TSS/TSR name, and the list contents should be a character vector of the TSSs or TSRs to merge. |
max_distance |
Merge TSRs within this distance. |
genome_assembly |
Genome assembly in FASTA or BSgenome format. |
This function will merge overlapping TSSs or TSRs from different samples using either the sample sheet or a named list. If 'merge_group' is specified, the new merged TSS/TSR set will be the factor level in the column, and all TSS/TSR sets sharing that factor level will be merged. If 'merge_list' is specified, the new TSS/TSR set will be the name of the list element, and the samples to merge will be a character vector as the list element.
'merge_distance' is provided for TSRs, and will merge TSRs within a certain distance from other TSRs.
TSRexploreR object containing merged TSSs or TSRs.
data(TSSs) sample_sheet <- data.frame( sample_name=sprintf("S288C_D_%s", seq_len(2)), file_1=rep(NA, 2), file_2=rep(NA, 2), condition="Diamide" ) assembly <- system.file("extdata", "S288C_Assembly.fasta", package="TSRexploreR") exp <- TSSs[seq_len(2)] %>% tsr_explorer(sample_sheet=sample_sheet, genome_assembly=assembly) %>% format_counts(data_type="tss") exp <- merge_samples(exp, data_type="tss", merge_group="condition")
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