docs: Add documentation for ParellelEvolCCM

Signed-off-by: jvfe <[email protected]>

docs/evolccm.md

@@ -0,0 +1,88 @@
+# ParallelEvolCCM usage
+
+ParallelEvolCCM is a tool for the identification of coordinated gain and loss of features.
+The method is described in detail in the following publication:
+
+- [The Community Coevolution Model with Application to the Study of Evolutionary Relationships between Genes Based on Phylogenetic Profiles](https://doi.org/10.1093/sysbio/syac052)
+
+If you use ParallelEvolCCM in your analysis, please cite the above publication.
+
+## ParallelEvolCCM inputs
+
+The ParallelEvolCCM tool requires two inputs:
+
+- A phylogenetic tree in Newick format
+- A presence/absence table in TSV format.
+
+The presence/absence TSV must have genome names equal to the ones in the tree in a 'genome_id' column,
+with all other columns representing features absent (0) or present (1) in each genome. I.e.:
+
+```
+genome_id	plasmid_AA155	plasmid_AA161
+ED010	0	0
+ED017	0	1
+ED040	0	0
+ED073	0	1
+ED075	1	1
+ED082	0	1
+ED142	0	1
+ED178	0	1
+ED180	0	0
+```
+
+## Using ParallelEvolCCM by itself
+
+The ParallelEvolCCM tool is a command line tool written in R.
+It is available through the [bin/ParallelEvolCCM.R](https://github.com/beiko-lab/arete/blob/master/bin/ParallelEvolCCM.R) script.
+
+To download the tool and make it executable, run:
+
+```bash
+wget https://raw.githubusercontent.com/beiko-lab/arete/master/bin/ParallelEvolCCM.R
+chmod +x ParallelEvolCCM.R
+```
+
+Then, ensure all EvolCCM dependencies are installed.
+You can install them by running the following command in your R console:
+
+```r
+install.packages(c('ape', 'dplyr', 'phytools', 'foreach', 'doParallel', 'gplots', 'remotes'))
+remotes::install_github('beiko-lab/evolCCM')
+```
+
+You can then run the tool like this:
+
+```bash
+./ParallelEvolCCM.R --intree tree.nwk --intable feature_table.tsv.gz --cores -1
+```
+
+- `--intree` specifies the phylogenetic tree in Newick format.
+- `--intable` specifies the feature table in compressed TSV format.
+- `--cores` specifies the number of cores to use. Use `-1` to use all available cores.
+
+Additional parameters can be found by running `./ParallelEvolCCM.R` with no additional parameters.
+
+## Using ParallelEvolCCM with ARETE
+
+The ParallelEvolCCM tool is also made available through the `evolccm` entry in ARETE.
+Making it possible to run the tool with Docker or Singularity.
+
+To execute the ParallelEvolCCM tool with ARETE, run the following command:
+
+```bash
+nextflow run beiko-lab/ARETE \
+  -entry evolccm \
+  --core_gene_tree core_gene_alignment.tre \
+  --feature_profile feature_profile.tsv.gz \
+  -profile docker
+```
+
+The parameters being:
+
+- `--core_gene_tree` - The reference tree, coming from a core genome alignment,
+  like the one generated by the `phylo` entry in ARETE.
+- `--feature_profile` - A presence/absence TSV matrix of features
+  in genomes, like the one created in ARETE's `annotation` entry.
+- `-profile` - The profile to use. In this case, `docker`.
+
+For more information, check the [full ARETE documentation](https://beiko-lab.github.io/arete/).

mkdocs.yml

@@ -14,6 +14,7 @@ nav:
       - Dataset Size: resource_profiles.md
       - Parameters: params.md
       - Subsampling: subsampling.md
+      - ParallelEvolCCM: evolccm.md
 repo_url: https://github.com/beiko-lab/arete
 theme:
   name: "readthedocs"