View source: R/get_known_signatures.R
get_known_signatures | R Documentation |
This function loads a signature matrix of pre-defined signatures. It can retrieve signatures for different types of mutations. It can also retrieve signatures from different sources. Additionally, different signature types can be retrieved. (The possible types are: Reference, tissue specific or drug exposure signatures.) For the COSMIC signatures both GRCh37, GRCh38 and mm10 versions of the signatures can be used. Finally, the user can choose whether to include possible artifacts. If no signatures have been defined for a specific combination of options, then an error is given.
get_known_signatures( muttype = c("snv", "dbs", "indel", "tsb_snv"), source = c("COSMIC", "SIGNAL", "SPARSE", "COSMIC_v3.1", "COSMIC_v3.2"), sig_type = c("reference", "exposure", "tissue"), incl_poss_artifacts = FALSE, tissue_type = c(NA, "Biliary", "Bladder", "Bone", "Breast", "Cervix", "CNS", "Colorectal", "Esophagus", "Head", "Kidney", "Liver", "Lung", "Lymphoid", "Myeloid", "Ovary", "Pancreas", "Prostate", "Skin", "Stomach", "Thyroid", "Uterus"), genome = c("GRCh37", "GRCh38", "mm10") )
muttype |
The type of mutations. Possible values: * 'snv' (default); * 'dbs'; * 'indel'; * 'tsb_snv' transcription strand bias snv; |
source |
The signature source. Possible values: * 'COSMIC' (default. Currently v3.2); * 'COSMIC_v3.1'; * 'COSMIC_v3.2'; * 'SIGNAL'; * 'SPARSE'; |
sig_type |
The type of signature. Possible values: * 'reference' (default); * 'exposure'; * 'tissue'; |
incl_poss_artifacts |
Whether to include possible artifacts. (default: TRUE) |
tissue_type |
The specific tissue to select signatures from. Can only be used when looking at tissue specific signatures. Keep this at NA to see tissue specific signatures for all tissues. |
genome |
The genome version that is used. This only works for COSMIC signatures. * 'GRCh37' (default); * 'GRCh38'; * 'mm10'; |
Possible combinations: COSMIC: - all muttypes. (tsb_snv is the same as in version 3.1) - reference - Can include possible artifacts for SNVs - For the SNVs and DBSs both GRCh37 and GRCh38 versions are available
COSMIC_v3.1: - all muttypes. - reference - Can include possible artifacts for SNVs
SIGNAL: - SNV. (+ DBS, when using exposure signatures.) - all signature types - Can include possible artifacts for reference SNVs
SPARSE: - SNV - reference
Artifacts can be included when using reference signatures for SNVs with COSMIC and SIGNAL
The signatures bundled in this package came from several sources. Please cite the associated papers if you use them.
The COSMIC signatures were downloaded from: https://cancer.sanger.ac.uk/signatures Currently, both version 3.2 and 3.1 are available. Paper: Alexandrov, L.B. et al., 2020, Nature
The SIGNAL signatures were downloaded from: https://signal.mutationalsignatures.com/ They were downloaded on: 03 July 2020. Paper: Andrea Degasperi et al., 2020, Nature Cancer Exposure paper: Jill E Kucab et al., 2019, Cell
The SPARSE signatures were downloaded from: https://www.biorxiv.org/content/10.1101/384834v2 They were downloaded on: 03 July 2020. Paper: Daniele Ramazzotti et al., 2019, Bioarchive
A signature matrix
## Get reference snv signature from COSMIC get_known_signatures() ## Get reference snv signature from COSMIC, ## including potential artifacts. get_known_signatures(incl_poss_artifacts = TRUE) ## Get a GRCh38 version of the signatures get_known_signatures(genome = "GRCh38") ## Get DBS signatures get_known_signatures("dbs") ## Get indel signatures get_known_signatures("indel") ## Get transcription strand bias snv signatures get_known_signatures("tsb_snv") ## Get COSMIC version 3.1 of the signatures get_known_signatures(source = "COSMIC_v3.1") ## Get reference signatures from SIGNAL get_known_signatures(source = "SIGNAL") ## Get reference signatures from SIGNAL, ## including potential artifacts get_known_signatures(source = "SIGNAL", incl_poss_artifacts = TRUE) ## Get exposure signatures from SIGNAL get_known_signatures(source = "SIGNAL", sig_type = "exposure") ## Get DBS exposure signatures from SIGNAL get_known_signatures("dbs", source = "SIGNAL", sig_type = "exposure") ## Get all tissue specific signatures from SIGNAL get_known_signatures(source = "SIGNAL", sig_type = "tissue") ## Get Bladder specific signatures from SIGNAL get_known_signatures( source = "SIGNAL", sig_type = "tissue", tissue_type = "Bladder" ) ## If you use an incorrect tissue_type an error is given. ## Get sparse signatures get_known_signatures(source = "SPARSE")
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