create_melissa_data_obj {Melissa} | R Documentation

## Create methylation regions for all cells

### Description

Wrapper function for creating methylation regions for all cells, which is the input object for Melissa prior to filtering.

### Usage

    create_melissa_data_obj(
      met_dir,
      anno_file,
      chrom_size_file = NULL,
      chr_discarded = NULL,
      is_centre = FALSE,
      is_window = TRUE,
      upstream = -5000,
      downstream = 5000,
      cov = 5,
      sd_thresh = -1,
      no_cores = NULL
    )

### Arguments

`met_dir` | Directory of (binarised) methylation files, each file corresponds to a single cell.
`anno_file` | The annotation file with 'tab' delimited format: "chromosome", "start", "end", "strand", "id", "name" (optional). Read the 'BPRMeth' documentation for more details.
`chrom_size_file` | Optional file name to read genome chromosome sizes.
`chr_discarded` | Optional vector with chromosomes to be discarded.
`is_centre` | Logical, whether 'start' and 'end' locations are pre-centred. If TRUE, the mean of the locations will be chosen as centre. If FALSE, the 'start' will be chosen as the center; e.g. for genes the 'start' denotes the TSS and we use this as centre to obtain K-bp upstream and downstream of TSS.
`is_window` | Whether to consider a predefined window region around centre. If TRUE, then 'upstream' and 'downstream' parameters are used, otherwise we consider the whole region from start to end location.
`upstream` | Integer defining the length of bp upstream of 'centre' for creating the genomic region. If is_window = FALSE, this parameter is ignored.
`downstream` | Integer defining the length of bp downstream of 'centre' for creating the genomic region. If is_window = FALSE, this parameter is ignored.
`cov` | Integer defining the minimum coverage of CpGs that each region must contain.
`sd_thresh` | Optional numeric defining the minimum standard deviation of the methylation change in a region. This is used to filter regions with no methylation variability.
`no_cores` | Number of cores to be used for parallel processing of data.

### Value

A `melissa_data_obj` object, with the following elements:

- `met`: A list of elements of length N, where N are the total number of cells. Each element in the list contains another list of length M, where M is the total number of genomic regions, e.g. promoters. Each element in the inner list is an `I X 2` matrix, where I are the total number of observations. The first column contains the input observations x (i.e. CpG locations) and the 2nd column contains the corresponding methylation level.

- `anno_region`: The annotation object.

- `opts`: A list with the parameters that were used for creating the object.

### Author(s)

C.A.Kapourani C.A.Kapourani@ed.ac.uk

### See Also

`binarise_files`, `melissa`, `filter_regions`

### Examples

    ## Not run:
    # Met directory
    met_dir <- "name_of_met_dir"
    # Annotation file name
    anno_file <- "name_of_anno_file"

    obj <- create_melissa_data_obj(met_dir, anno_file)

    # Extract annotation regions
    met <- obj$met

    # Extract annotation regions
    anno <- obj$anno_region

    ## End(Not run)

[Package Melissa version 1.6.0 Index]