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Melanocytes_Tang2020

R scripts and resources to accompany Tang/Fewings et al 2020 manuscript

Scripts:

File Description
S01_tSNE.Rmd Performs t-Distributed Stochastic Neighbor Embedding on clones to determine relatedness and confirm different cell tyoes
S02_RNA_DE_celltype.Rmd Analyses RNA to identify genes significantly differentially expressed in different cell types, thereby confirming cell morphology
S03_MB_Signature_analysis.Rmd Plots mutation burdens of clones and identifies the proportion of their mutations associated with previously defined mutation signatures
S04_RNA_MB_DE.Rmd Identifies significantly differentially expressed genes associated with changes in mutation burden within one anatomic site
S05_RNA_sexchrom_dels.Rmd Calculates coverage over sex chromosomes and creates t-SNE plot to identify clones with sex chromosome deletion

Resource files:

File Description Used in script
Ensembl_IDs.txt List of Ensembl transcript IDs and associated gene names S01, S02, S04, S05
ensemblIDS_chromosomes.txt List of Ensembl transcript IDs, associated gene names, and the chromosome in which they reside S05
exome_mutation_list_csq_UV_MAF_20200211.txt Combined list of all validated or inferred mutations identified in exome data S03
mutation_burdens_20200211.csv Calculated mutation burdens for each clone S03
mutation_burdens_plot_20200211.csv Calculated mutation burdens for each clone reorganised in script S03 S04
Signature7abc_PJ.csv Mutation signatures as defined my Petljak et al 2019 S03
ucsf_mutation_list_csq_UV_MAF_20200211.txt Combined list of all validated or inferred mutations identified in UCSF500 data S03

Also included:

Direct output of RSEM gene quantification analysis. An output for each clone is in the RNA/ directory

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R scripts and resources to accompany manuscript "The genomic landscapes of individual melanocytes from human skin", Tang and Fewing et al. Nature 2020

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