compute_GC: Calculate GC content
In LncFinder: LncRNA Identification and Analysis Using Heterologous Features

Description Usage Arguments Details Value Author(s) See Also Examples

This function can GC content of the input sequences.

compute_GC(
  Sequences,
  label = NULL,
  on.ORF = FALSE,
  auto.full = FALSE,
  parallel.cores = 2
)

`Sequences`	A FASTA file loaded by function `read.fasta` of `seqinr-package`.
`label`	Optional. String. Indicate the label of the sequences such as "NonCoding", "Coding".
`on.ORF`	Logical. If `TRUE`, GC content will be calculated on the longest ORF region.
`auto.full`	Logical. When `on.ORF = TRUE` but no ORF can be found, if `auto.full = TRUE`, GC content will be calculated on full sequences automatically; if `auto.full` is `FALSE`, the sequences that have no ORF will be discarded. Ignored when `on.ORF = FALSE`. (Default: `FALSE`)
`parallel.cores`	Integer. The number of cores for parallel computation. By default the number of cores is `2`. Users can set as `-1` to run this function with all cores.

This function can basically compute GC content of DNA sequences: GC content = (nc + ng) / (na + nc + ng + nt). The function will ignored the ambiguous bases.

A dataframe.

HAN Siyu

GC (package "seqinr-package")

## Not run: 
data(demo_DNA.seq)
Seqs <- demo_DNA.seq

gcContent <- compute_GC(Seqs, label = "NonCoding",on.ORF = TRUE,
                        auto.full = TRUE, parallel.cores = 2)

## End(Not run)