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Heterogeneity

Code accompanying Characterizing genetic intra-tumor heterogeneity across 2,658 human cancer genomes

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/learn @PCAWG-11/Heterogeneity
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0/100

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Universal

README

Code accompanying Characterizing genetic intra-tumor heterogeneity across 2,658 human cancer genomes

This repository contains code corresponding to analysis reported in <a href="https://www.cell.com/cell/fulltext/S0092-8674(21)00294-4">Characterizing genetic intra-tumor heterogeneity across 2,658 human cancer genomes</a>

The submodules in this repository link to the version of the code that was used to produce the results and are provided as a permanent archive.

Some of the methods may see further development, therefore, if you're interested in applying a method it is encouraged to go to the linked repositories and check out the latest version there.

Data from the Pan-Cancer Analysis of Whole Genomes project (PCAWG) is available here, including consensus copy number profiles and consensus subclonal architectures.

Contents

| Repository | Description | | --- | --- | | CICC | Method to construct a consensus subclonal architecture | | CSR | Method to construct a consensus subclonal architecture | | SimClone1000 | Pipeline that created the SimClone1000 simulated data set | | icgc_consensus_copynumber | Pipeline that constructs the consensus copy number profiles | | icgc_consensus_purity | Pipeline that establishes a consensus purity estimate | | icgc_consensus_clustering_assignment | Pipeline that assigns all SNVs, indels and SVs to consensus mutation clusters | | MutationTimeR | Version of MutationTimeR used to assign mutations to clusters | | weme | Method to construct a consensus subclonal architecture | | SpoilSport | Method to correct cluster positions and sizes for missed SNVs (i.e. winner's curse) |

Dependencies

Each of the above named repositories contains a description of the depencies required for that component.

Used input methods

Copy number

Subclonal architecture

Other

Related Skills

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GitHub Stars44
CategoryDevelopment
Updated6mo ago
Forks6

Languages

R

Security Score

67/100

Audited on Sep 17, 2025

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