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Normalize counts using Scaling with Ranked Subsampling (SRS) srs_normalize() uses the SRS method to equalize sampling depth to a chosen value.

Source: R/adders_abundances.R
srs_normalize.Rd

Normalize counts using Scaling with Ranked Subsampling (SRS) srs_normalize() uses the SRS method to equalize sampling depth to a chosen value.

Usage

srs_normalize(ta, target_reads)

Arguments

ta

A tidytacos object.

target_reads

the sequencing depth to which samples are subsampled. Samples below this threshold are discarded.

Value

A tidytacos object where the reads are subsampled to the chosen value using SRS.

See also

Other count-modifiers: add_absolute_abundance(), add_density(), add_rel_abundance()