| CELLector.CellLinesVarCatalog | R Documentation | 
List of somatic variants found in cell-lines, from Iorio et al, Cell 2016 [1]
data("CELLector.CellLinesVarCatalog")A data frame with 486243 observations (one for each somatic variants) on the following 13 variables.
SAMPLEa character vector specifying the name of the cell line in which the variant has been found
COSMIC_IDa numeric vector specifying COSMIC [2] identifier of the cell line in which the variant has been found
Cancer.Typea character vector specifying the TCGA [3] classification of the tissue of origin of the cell line in which the variant has been found
Genea character vector specifying the HUGO [4] symbol of the gene hosting the variant under consideration (from Ensemble v56)
Transcripta character vector specifying the identifier of the transcript affected by the variant under consideration (from Ensemble v56)
cDNAa character vector specifying variant position and nucleotide change relating to the cDNA
AAa character vector specifying aminoacid positon and alteration related to the variant under consideration
Classificationa character vector specifying a summary of the variant type (e.g. missense, frameshift, nonsense, etc)
Gene_lista character vector: when non empty then the variant is within a high-confidence cancer driver gene (according to [1]), thus resulting in a cancer functional event (CFE) summarised in the Cell line Binary Event Matrices (BEMs)
Recurrence.Filtera character vector: if 'Yes' then the variant under consideration is observed in COSMIC [2] (v68) at a minimal threshold frequency (specified in [1])
Subsa numeric vector: Missense/substitution variants occurring in codons mutated in the systematic screen data in COSMIC [2] (v68) (select >=3
Truncatinga numeric vector: Truncating variant count from the systematic screen data in COSMIC [2] (v68) (select >10)
inframea numeric vector: Inframe indel alterations occurring in codons mutated in the systematic screen data in COSMIC [2] (v68) (select >=3)
Francesco Iorio (fi9323@gmail.com)
[1] Iorio, F. et al. A Landscape of Pharmacogenomic Interactions in Cancer. Cell 166, 740–754 (2016).
[2] Forbes, S. A. et al. COSMIC: exploring the world’s knowledge of somatic mutations in human cancer. Nucleic Acids Res. 43, D805–11 (2015).
[3] Hutter C and Zenklusen JC. The Cancer Genome Atlas: Creating Lasting Value beyond Its Data. Cell. 2018;173(2):283–285. doi:10.1016/j.cell.2018.03.042
[4] Braschi, B. et al. Genenames.org: the HGNC and VGNC resources in 2019. Nucleic Acids Res. Epub 2018 Oct 10. PMID: 30304474 DOI: 10.1093/nar/gky930
CELLector.CellLine.BEMs, CELLector.CellLine.BEMs_v2, CELLector.CFEs
data(CELLector.CellLinesVarCatalog)
head(CELLector.CellLinesVarCatalog)
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