eczemadrs
Processing and analysis of human Atopic Dermatitis direct RNA-seq data
Science Score: 41.0%
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✓CITATION.cff file
Found CITATION.cff file -
○codemeta.json file
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○.zenodo.json file
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✓DOI references
Found 3 DOI reference(s) in README -
✓Academic publication links
Links to: zenodo.org -
○Academic email domains
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (14.1%) to scientific vocabulary
Repository
Processing and analysis of human Atopic Dermatitis direct RNA-seq data
Basic Info
Statistics
- Stars: 1
- Watchers: 2
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Metadata Files
README.md
Eczema DRS Paper Code Repository
Within this repository you will find all the code and data files as used/described in the Cole et al paper (see CITATION).
It has also been adapted for work on a collaboration with Ryan O'Shaughnessy (UCL) on RPTOR gene expression (see CITATION).
The repository has the following structure:
app/ - Shiny app for visualising gene expression
bin/ - scripts for processing the source data
data/ - source data
CITATION - information on how to cite this work
README.md - information on the code and data (this file)
LICENCE - information on the licencing of the code
Makefile - code for running scripts via make
Makefile.RPTOR - code for performing RPTOR-specific analysis
Requirements
This code requires you have make and R on your $PATH and have the
following R packages installed:
edgeR (tested with 3.14.0)
sqldf (tested with 0.4.10)
gplots (tested with 3.0.1)
For the Shiny App the shiny R library will also be required.
R version 3.3.0 was used during development (but should work with anything newer than 2.15.1).
Quickstart
To run all the scripts and generate all figures and data, type:
make
To run just the analyses and generate data, type:
make analysis
To run generate just the plots, type:
make figures
To delete all outputs, type:
make clean
To run RPTOR-specific analysis as per our 2016 paper (see CITATION):
make -f Makefile.RPTOR
Details
This github repository accompanies two papers and covers the differential gene expression analysis in a cohort of Irish peadiatric eczema cases in comparison to their filaggrin, FLG, genotype.
The simplest way to use the code is via the Quickstart guide above, but each script found under bin/ can run be individually if you know what you're doing. Code has some in-line comments.
Shiny App
A utility webapp has also been developed with RStudio's Shiny framework to perform gene-specific searches of expression profiles between cases and controls or stratified by FLG genotype.
To run the Shiny App do the following:
- Clone this repository into a new RStudio project
- Open the
app\DRSexpr\app.Rfile - Click the 'Run App' button
Owner
- Name: Chris Cole
- Login: drchriscole
- Kind: user
- Location: Scotland
- Company: University of Dundee
- Website: https://www.dundee.ac.uk/people/christian-cole
- Repositories: 35
- Profile: https://github.com/drchriscole
Health Informatics, Bioinformatics and all things data.
Citation (CITATION)
The code and data in this github repository can be cited via this doi: https://doi.org/10.5281/zenodo.3903509 The results of the analysis are part of the following publication: Cole, Christian, Karin Kroboth, Nicholas J. Schurch, Aileen Sandilands, Alexander Sherstnev, Grainne M. O’Regan, Rosemarie M. Watson, et al. ‘Filaggrin-Stratified Transcriptomic Analysis of Pediatric Skin Identifies Mechanistic Pathways in Patients with Atopic Dermatitis’. Journal of Allergy and Clinical Immunology, 134(1), 82-91 (2014). https://doi.org/10.1016/j.jaci.2014.04.021 Please cite both of the above when referencing this work. Many thanks. For the analysis performed on the RPTOR gene, please cite the following: Naeem AS, Tommasi C, Cole C, Brown SJ, Zhu Y, Way B, Willis Owen SAG, Moffat M, Cookson WO, Harper JI, Di WL, Brown SJ, Reinheckel T & O'Shaughnessy RFL. 'A mechanistic target of rapamycin complex 1/2 (mTORC1)/V-Akt murine thymoma viral oncogene homolog 1 (AKT1)/cathepsin H axis controls filaggrin expression and processing in skin, a novel mechanism for skin barrier disruption in patients with atopic dermatitis' Journal of Allergy and Clinical Immunology, 139(4), 1228–1241 (2017). https://doi.org/10.1016/j.jaci.2016.09.052