This method simulates the sequencing of the samples in a phylogenetic forest.
Arguments
- phylo_forest
A phylogenetic forest.
- sequencer
The sequencer that performs the sequencing simulation (default: an
ErrorlessIlluminaSequencer).- reference_genome
The reference genome (default: NULL to use the mutation engine reference genome).
- chromosomes
The chromosomes that must be considered (default:
NULL, i.e., all the reference chromosomes).- coverage
The sequencing coverage (default:
10).- read_size
The read size (default:
150).- insert_size_mean
The insert size mean. Use 0 for single read sequencing and any value greater than 0 for pair read sequencing (default:
0).- insert_size_stddev
The insert size standard deviation. (default:
10).- output_dir
The SAM output directory (default:
"rRACES_SAM").- write_SAM
A Boolean flag to enable/disable SAM generation (default:
FALSE).- update_SAM
Update the output directory (default:
FALSE).- cell_labelling
The labelling function for sampled cells See
vignette("sample_partition")for details (default:NULL).- purity
The ratio between the number of sample tumeral cell and that of all the cells, i.e., tumour and normal ones. This value must belong to the interval 0,1 (default:
1).- with_normal_sample
A Boolean flag to enable/disable the analysis of a normal sample (default:
TRUE).- filename_prefix
The prefix of the output SAM file name (default:
"chr_").- template_name_prefix
The template name prefix (default:
"r").- include_non_sequenced_mutations
A Boolean flag to include in the resulting dataframe also the mutations that are not covered by any of the simulated reads, but occur to one of the samples at least (default:
FALSE).- seed
The random seed for the internal random generator (optional).
Value
A dataframe representing, for each of the observed SNVs
and indels, the chromosome and the position in which it occurs
(columns chr and chr_pos), the mutation reference and
alterate sequences (columns ref and alt, respectively), its
cause and class (columns causes, and classes, respectively).
Moreover, for each of the sequencied samples <sample name>,
the returned dataframe contains three columns: the number of
reads in which the corresponding mutation occurs (column
<sample name>.occurrences), the coverage of the mutation
(column <sample name>.coverage), and the corresponding VAF
(column <sample name>.VAF).
See also
BasicIlluminaSequencer and
ErrorlessIlluminaSequencer as sequencer types, and
vignette("sequencing") for usage examples