PICTographPlus: Data Sets and Resources
收藏NIAID Data Ecosystem2026-05-10 收录
下载链接：
https://data.mendeley.com/datasets/cv66sgfcfn
下载链接
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资源简介：
All the code are freely available at https://github.com/KarchinLab/pictographPlus and https://github.com/KarchinLab/PICTographPlus_manuscript.
Benchmarking dataset
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all_cells_with_hmm.rds: inferCNV object containing copy number results
cell_groups.rds: inferCNV cell grouping results
tree.csv: copy number tree
benchmarking_PICTographPlus_results.csv: collected results from benchmarking dataset using PICTographPlus
benchmarking_baseline_results.csv: collected results from benchmarking dataset using the baseline analysis
Case analysis dataset
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gene_sets_extended.txt: gene sets used for GSEA analysis
Inputs:
CRUK0004_input: input data for TRACERx patient.
CRUK0004_SNV.csv: input somatic mutation file
CRUK0004_facets.csv: input somatic copy number file
CRUK0004_RNA.csv: input RNA read counts
MK74_input: input data for Semaan et al. IPMN patient.
MK74_snv.csv: input somatic mutation file
MK74_cn.csv: input somatic copy number file
MK74_rna.csv: input RNA read counts
PCSI0380_input: input data for PanCuRx PDAC patient.
PCSI0380_snv.csv: input somatic mutation/copy number file
PCSI0380_.csv: input RNA read counts
Outputs:
CRUK0004_output: output data for TRACERx patient.
MK74_output: output data for Semaan et al. IPMN patient.
PCSI0380_output: output data for PanCuRx PDAC patient.
Each of the above output folder contains the following files:
tree.csv: PICTographPlus tree
subclone_proportion.csv: subclone proportion for each sample
clusterAssign.csv: assignment of mutation to each cluster
purity.csv: estimated purity per sample
mcf.csv: cluster mutation cellular fraction
clonal_expression.csv: clone-level gene expression
GSEA: gene set enrichment analysis results
创建时间：
2026-01-14
