The following R notebooks can be used to generate the bioinformatics figures and tables shown in the paper:
- 01_ACLmRNA.qmd - DESeq2 analysis of the ACL rupture model mRNA-seq
- 02_ACLmiRNA.qmd - DESeq2 analysis of the ACL rupture model smallRNA-seq
- 03_mir199DiffExp.qmd - RNA-seq Differential expression, gene ontology and target analysis of mir199 inhibited HACs
- 04_DMMDiffExp.qmd - DESeq2 analysis of the DMM OA model mRNA-seq
After cloning/downloading this repository.
-
Install
Singularity
-
Download and run the singularity container
singularity run https://pgb.liv.ac.uk/~jsoul/OAModelmicroRNA/analysis.img
or
- Build the singularity container:
sudo singularity build runAnalysis.img Singularity
- Run the analysis and render tables and figures with a single command:
./runAnalysis.img
- Install the needed R packages
RScript install/install.R
- Run the analysis and render the html notebooks
RScript runAnalysis.R
For the smallRNA-seq data the nextflow core smrnaseq v1.1.0 was run using:
nextflow run nf-core/smrnaseq -r 1.1.0 --input "fastqFiles/*.fastq.gz" --genome GRCm38 --protocol 'custom' --three_prime_adapter AGATCGGAAGAGCACACGTCTGAACTCCAGTCAC --mirtrace_protocol illumina --max_cpus 6 -profile singularity
Skeletalvis pipeline was used to process the RNA-seq data (github.com/soulj/SkeletalVis-Pipeline)