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CloneSeeker

Seeking and Finding Clones in Copy Number and Sequencing Data

Defines the classes and functions used to simulate and to analyze data sets describing copy number variants and, optionally, sequencing mutations in order to detect clonal subsets. See Zucker et al. (2019) <doi:10.1093/bioinformatics/btz057>.

README

---
author: Kevin R. Coombes
date: 12 October 2018
title: Auxiliary Material for CloneFinfer
---

# Overview
This directory contains a combination of material that either
(1) constructs data sets that are part of the package or (2) performs
some of the analyses described in our manuscript.

## Package Material

1. `chlens.txt` is a simple table holding the lengths In base pairs)
   of human chromosomes. It is based on build [UNKNOWN} and was
   initialy obtained from [UNKNOWN].
2. `makeChlens.R` is a script that reads the previous file, converts
   it to a useful form, and saves it in the `sysdata.rda` file so it
   can be used by the package. In particular, it is used by functions
   that simulate `Tumor` objects to create  realistic segmentation
   data.
3. `makeTestExamples.R` is a script that simulates copy number and
   mutation data used for regression testing of the algorithms during
   package development. 

## Analyses

1. `simgen.R` is the script that created the original simulated data
   sets used in our paper to compare the CloneSeeker algorithm to other
   algorithms intended to detect clones.
2. `running.R` analyzes all th simulated data.
3. `asswssing.R` compares the infered results feomthe the algorithms
   to the true properties of the simulated adta.
4. `clinical.R` applies th CloneSeeker alorithm to CLL data.
5. `cnv_survival.R` tsts the associations of subclones with clinical
   variables in CLL.
6. ``figures.R` generates the figures in the manuscript.

Versions across snapshots

VersionRepositoryFileSize
1.0.16 2026-04-09 windows/windows R-4.5 CloneSeeker_1.0.16.zip 463.3 KiB

Dependencies (latest)

Imports