Last updated: 2018-08-24

workflowr checks: (Click a bullet for more information)
Expand here to see past versions:


Project overview

This project investigates clonality in human dermal fibroblast cell populations in 32 cell lines from distinct donors, using bulk whole-exome sequencing and single-cell RNA-sequencing data.

Key findings:

For a richer overview, see the About page.

Data availability

Single-cell RNA-seq data have been deposited in the ArrayExpress database at EMBL-EBI under accession number E-MTAB-7167. Whole-exome sequencing data is available through the HipSci portal. Processed data and large results files are available at …

Data pre-processing

The data pre-processing for this project from the raw data described above is complicated and computationally expensive, so this repository does not reproduce the data pre-processing in an automated way. However, we provide the source code for the Snakemake workflow for data pre-processing in this repository. Docker images providing the computing environment and software used are publicly available, split into an image for command line bioinformatics tools and an R installation with necessary packages installed.

If you would like to pre-process the data from raw reads to results as we have, please consult our description of how to run the workflow.

Analyses

Here we present the reproducible the results of our analyses. They were generated by rendering the R Markdown documents into webpages available at the links below.

The results presented in the paper were produced with these analyses.

  1. Simulation results.

  2. Overview of lines

  3. Analysis of clonal prevalences.

  4. Analysis for the example cell line joxm.

  5. Variance components analysis.

  6. Differential expression analysis.

  7. Analysis of effects of somatic variants on cis gene expression.


Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.


This reproducible R Markdown analysis was created with workflowr 1.1.1