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methfuse hexagon methFuse

methFuse implements FUSE: FUnctional SEgmentation of DNA methylation data through hierarchical clustering.


Features


Installation

From GitHub (Development Version)

Either using remotes: (recommended)

# Install remotes if needed
install.packages("remotes")

# Install fuseR from GitHub
remotes::install_github("holmsusa/methFuse")

or using devtools:

# Install devtools if needed
install.packages("devtools")

# Install fuseR from GitHub
devtools::install_github("holmsusa/methFuse")

System Requirements

You may need platform-specific tools:

Supported input types

fuse.segment() supports the following input formats:

Install needed packages with

BiocManager::install(c("bsseq", "methrix", "DelayedArray"))

Quick Example

library(fuseR)
set.seed(1234)

# Generate sample data
# Unmethylated counts, T's
K0 <- matrix(
  rep(c(sample(0:20, 200, replace = TRUE), sample(20:40, 200, replace = TRUE)), 2),
  nrow = 100, byrow = TRUE
)
# Methylated counts, C's
K1 <- matrix(
  rep(c(sample(20:40, 200, replace = TRUE), sample(0:20, 200, replace = TRUE)), 2),
  nrow = 100, byrow = TRUE
)

# Perform segmentation
segment_result <- fuse.segment(
  K0, K1, 
  chr = sub("\\..*$", "", rownames(K0)), 
  pos = as.numeric(sub("^.*\\.", "", rownames(K0)))
)

# Access summary and per-segment betas
head(segment_result$summary)
head(segment_result$betas_per_segment)

Check out a full example workflow in the vignette.

License

This package is licensed under the MIT License. See LICENSE for details.

Author

Susanna Holmstrom

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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