https://github.com/bartongroup/mg_covidprot_neutrophils
Large-scale proteomics of COVID neutrophils (Chalmers)
Science Score: 13.0%
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Low similarity (5.4%) to scientific vocabulary
Repository
Large-scale proteomics of COVID neutrophils (Chalmers)
Statistics
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Metadata Files
README.md
Large-scale proteomics of COVID-19 neutrophils
Maintainer: Marek Gierlinski (M.Gierlinski@dundee.ac.uk)
Software to accompany the manuscript "Investigating the impact of dipeptidyl peptidase-1 inhibition in humans using multi-omics: results from a double-blind, randomized, placebo-controlled trial in patients with COVID-19" by Long et al. (2024), in preparation.
Usage
We suggest using RStudio. Start in the top project directory. The first step is to create environment using 'renv':
install.packages("renv")
renv::restore()
This will install all necessary packages. Run the targets pipeline.
targets::tar_make()
This will analyse data, create figures (in directory manuscript_fig) and a report (in directory doc).
Owner
- Name: Geoff Barton's Computational Biology Group
- Login: bartongroup
- Kind: organization
- Location: Dundee, Scotland, UK
- Website: https://www.compbio.dundee.ac.uk
- Twitter: bartongrp
- Repositories: 57
- Profile: https://github.com/bartongroup