CellMinerCDB enables exploration and analysis of cancer cell line pharmacogenomic data across different sources. If publishing results based on this site, please cite: Luna A, Elloumi F, Varma S et al. Nucleic Acids Res. 2021 Jan 8.

Plot point tooltips provide additional information.

Download selected x and y axis data as a Tab-Delimited File

Data type	Abbreviation	Identifier ID
Drug activity	act	drug NSC or name
DNA Copy Number	cop	gene name
DNA Mutation	mut	gene name
DNA Methylation 450K	met	gene name
DNA Methylation 850K	mth	gene name
Body DNA Methylation 850K	bmt	gene name
DNA Methylation RRBS	rrb	gene name
Microarray RNA Expression using z-score	exp	gene name
Microarray RNA Expression using Avg.log2	xai	gene name
RPLA Protein	pro	protein/gene name
MicroRNA	mir	microRNA ID
Miscellaneous phenotypic	mda	Miscellaneous phenotypic name
SWATH-MS Protein	swa	protein/gene name
RNA-seq Expression using log2.FPKM+1	xsq	gene name
Crispr	cri	gene name
Metabolomics	mtb	metabolite
Histone H3K27ac	his	gene name
Histone H3K4me3	hs4	gene name
Surface Receptor Protein	sur	protein/gene name

Pattern comparison results are computed with respect to that data defined and shared by both the x and y-axis inputs.

Select molecular or activity data

Compare x-Axis input to x-Axis molecular or activity data

Compare x-Axis input to y-Axis molecular or activity data

CellMinerCDB

Table of Contents

Introduction

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Table of Contents

Introduction