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Custom source code used in Richards, Whitley et al., Nature Cancer, 2020

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Gradient of developmental and injury-response transcriptional states define functional vulnerabilities underpinning glioblastoma heterogeneity

This repository contains custom code used for analysis and plotting in Richards, Whitley et al., Nature Cancer (2021). DOI: 10.1038/s43018-020-00154-9

Data Availability

Bulk RNA-sequencing (EGAS00001003070 & EGAS00001004395), whole genome sequencing (EGAS00001004395), single cell and single nuclei RNA-sequencing (EGAS00001004656) datasets generated and analysed in this study are available through the European Genome-Phenome Archive (https://www.ebi.ac.uk/ega/studies/) repository, in the form of FASTQ or BAM files.

Processed single cell and nuclei RNA-sequencing data are publically available through the Broad Institute Single-Cell Portal (https://singlecell.broadinstitute.org/single_cell/study/SCP503) and CReSCENT (https://crescent.cloud).

Source data for Figures 1-8 and Extended Data Figures 1-10 and original CSV files for Supplementary Tables 2-9 are available in the Supplementary Information section of the published manuscript. All other data supporting the findings of this study are available from the corresponding author on reasonable request.

Contact Information

Drs. Trevor Pugh ([email protected]) & Gary Bader ([email protected])

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