SpectralTAD

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Cresswell, Kellen G., John C. Stansfield, and Mikhail G. Dozmorov. “SpectralTAD: An R Package for Defining a Hierarchy of Topologically Associated Domains Using Spectral Clustering.” BMC Bioinformatics 21, no. 1 (December 2020): 319.

SpectralTAD is a TAD caller that uses a modified form of spectral clustering to quickly identify hierarchical topologically associating domains (TADs). Users input a contact matrix and receive a BED file containing the coordinates of TADs and their levels in a hierarchy. The Level 1 TADs are generally large, well-defined, while the subsequent levels are less well-pronounced yet sufficiently distinct to be recognized as TADs.

The two main functions are SpectralTAD() and SpectralTAD_Par(). SpectralTAD() is a function for calling TADs. SpectralTAD_Par() is the parallelized version. The input data can be an n x n, an n x (n+3), or a sparse 3-column matrix (see vignette (`browseVignettes("SpectralTAD"))

Installation

If necessary, install the dependencies:

``` install.packages(c('dplyr', 'PRIMME', 'cluster', 'Matrix', 'parallel', 'magrittr', 'HiCcompare'))

if (!requireNamespace("BiocManager", quietly=TRUE)) install.packages("BiocManager") BiocManager::install('BiocParallel') ```

The latest version of SpectralTAD can be directly installed from Github:

devtools::install_github('dozmorovlab/SpectralTAD', build_vignettes = TRUE) library(SpectralTAD)

Alternatively, the package can be installed from Bioconductor (to be submitted):

if (!requireNamespace("BiocManager", quietly=TRUE)) install.packages("BiocManager") BiocManager::install("SpectralTAD") library(SpectralTAD)

Input

There are three types of input accepted:

1. n x n contact matrices
2. n x (n+3) contact matrices
3. 3-column sparse contact matrices

These formats are explained in depth in the vignette.

Usage

Multi-Level TADs

```

Load example contact matrix

data("raochr2025_rep")

Find TADs

tads = SpectralTAD(raochr2025rep, chr = "chr20", levels = 2, qualfilter = FALSE) ```

The output is a list where each entry corresponds to a level of the TAD hierarchy.

First level sample output:

chr start end Level chr20 50000 1200000 1 chr20 1200000 2450000 1 chr20 2450000 3525000 1 chr20 3525000 4075000 1

Second level sample output:

chr start end Level chr20 50000 550000 2 chr20 550000 675000 2 chr20 675000 1200000 2 chr20 1200000 1750000 2

Citation

Cresswell, Kellen G., John C. Stansfield, and Mikhail G. Dozmorov. "SpectralTAD: an R package for defining a hierarchy of Topologically Associated Domains using spectral clustering." BMC bioinformatics 21, no. 1 (2020): 1-19. https://doi.org/10.1186/s12859-020-03652-w

@article{cresswell2020spectraltad, title={SpectralTAD: an R package for defining a hierarchy of Topologically Associated Domains using spectral clustering}, author={Cresswell, Kellen G and Stansfield, John C and Dozmorov, Mikhail G}, journal={BMC bioinformatics}, volume={21}, number={1}, pages={1--19}, year={2020}, publisher={Springer} }

Contributions & Support

Suggestions for new features and bug reports are welcome. Please, create a new issue for any of these or contact the author directly: @dozmorovlab (dozmorovlab[at]vcu[dot]edu)

Contributors

Authors: @dozmorovlab (dozmorovlab[at]vcu[dot]edu) & @mdozmorov (mikhail.dozmorov[at]vcuhealth[dot]org)