| is_paired_end {recount3} | R Documentation |
Based on two alignment metrics, this function guesses the samples are paired end or not.
is_paired_end( x, avg_mapped_read_length = "recount_qc.star.average_mapped_length", avg_read_length = "recount_seq_qc.avg_len" )
x |
Either a
RangedSummarizedExperiment-class
created by |
avg_mapped_read_length |
A |
avg_read_length |
A |
A logical() vector specifying whether each sample was likely
paired-end or not.
Other count transformation functions:
compute_read_counts(),
compute_scale_factors(),
transform_counts()
## Download the metadata for SRP009615, a single-end study
SRP009615_meta <- read_metadata(
metadata_files = file_retrieve(
locate_url(
"SRP009615",
"data_sources/sra",
)
)
)
## Are the samples paired end?
is_paired_end(SRP009615_meta)
## Download the metadata for DRP000499, a paired-end study
DRP000499_meta <- read_metadata(
metadata_files = file_retrieve(
locate_url(
"DRP000499",
"data_sources/sra",
)
)
)
is_paired_end(DRP000499_meta)