--- title: "MethScope-MRMP" output: rmarkdown::html_vignette vignette: > %\VignetteIndexEntry{MethScope-MRMP} %\VignetteEngine{knitr::rmarkdown} %\VignetteEncoding{UTF-8} --- ```{r, include = FALSE} options(device = "png") knitr::opts_chunk$set( fig.ext = "png", collapse = TRUE, comment = "#>" ) ``` ## Generate an MRMP reference MethScope includes pre-defined MRMP references, and you can also build your own from a methylation atlas. ### Prerequisites 1. Install **YAME** for `.cg` processing: 2. Prepare a reference methylation `.cg` file (for example, an atlas or merged reference panel) 3. Install and load `MethScope` ```{r, eval=FALSE} library(MethScope) ``` ### Step 1: Binarize the reference `.cg` file Convert methylation proportions into binary strings. The default threshold is 0.5; adjust with `-b` if needed. ```{bash, eval=FALSE} yame rowop example.cg -o binstring > example_binstring ``` ### Step 2: Build MRMP pattern definitions Use `GenerateReference()` to identify recurrent patterns. `min_CG` controls the minimum CpGs per MRMP (default: `50`). ```{r, eval=FALSE} GenerateReference(binary_file = "example_binstring", min_CG = 50) ``` This step generates a `patterns.txt` file. ### Step 3: Pack patterns into a `.cm` reference Pack `patterns.txt` into a `.cm` file that can be passed as `reference_pattern` in `GenerateInput()`. ```{bash, eval=FALSE} yame pack -f s patterns.txt patterns.cm ``` ## Build MRMP references from cell-type pseudobulks If cell-type labels are available, pseudobulked profiles can produce robust cell-type-informed MRMP references. ### Step 1: Create pseudobulk profiles per cell type Prepare a text file (`samples.txt`) containing sample IDs for one cell type, then aggregate with `musum`. ```{bash, eval=FALSE} yame subset -l samples.txt example.cg | yame rowop -o musum - example_pseudobulk.cg ``` ### Step 2: Repeat per cell type and build MRMPs Run the same workflow above (`binstring -> GenerateReference -> yame pack`) on each pseudobulk or combined pseudobulk panel. For running a full parallelized multi-cell-type script, please refer to: After generating `patterns.cm`, use it as the custom MRMP reference in downstream MethScope analyses.