preciseTAD

DOI: 10.18129/B9.bioc.preciseTAD    

This package is for version 3.13 of Bioconductor; for the stable, up-to-date release version, see preciseTAD.

preciseTAD: A machine learning framework for precise TAD boundary prediction

Bioconductor version: 3.13

preciseTAD provides functions to predict the location of boundaries of topologically associated domains (TADs) and chromatin loops at base-level resolution. As an input, it takes BED-formatted genomic coordinates of domain boundaries detected from low-resolution Hi-C data, and coordinates of high-resolution genomic annotations from ENCODE or other consortia. preciseTAD employs several feature engineering strategies and resampling techniques to address class imbalance, and trains an optimized random forest model for predicting low-resolution domain boundaries. Translated on a base-level, preciseTAD predicts the probability for each base to be a boundary. Density-based clustering and scalable partitioning techniques are used to detect precise boundary regions and summit points. Compared with low-resolution boundaries, preciseTAD boundaries are highly enriched for CTCF, RAD21, SMC3, and ZNF143 signal and more conserved across cell lines. The pre-trained model can accurately predict boundaries in another cell line using CTCF, RAD21, SMC3, and ZNF143 annotation data for this cell line.

Author: Spiro Stilianoudakis [aut, cre], Mikhail Dozmorov [aut]

Maintainer: Spiro Stilianoudakis <stilianoudasc at vcu.edu>

Installation

To install this package, start R (version "4.1") and enter:

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

BiocManager::install("preciseTAD")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("preciseTAD")

 

HTML	R Script	preciseTAD
PDF		Reference Manual
Text		NEWS
Text		LICENSE

Details

biocViews	Classification, Clustering, FeatureExtraction, FunctionalGenomics, HiC, Sequencing, Software
Version	1.2.0
In Bioconductor since	BioC 3.12 (R-4.0) (1 year)
License	MIT + file LICENSE
Depends	R (>= 4.0.0)
Imports	S4Vectors, IRanges, GenomicRanges, randomForest, ModelMetrics, e1071, PRROC, pROC, caret, utils, cluster, dbscan, doSNOW, foreach, pbapply, stats, parallel, stats
LinkingTo
Suggests	knitr, rmarkdown, testthat, BiocCheck, BiocManager, BiocStyle
SystemRequirements
Enhances
URL	https://github.com/dozmorovlab/preciseTAD
BugReports	https://github.com/dozmorovlab/preciseTAD/issues
Depends On Me
Imports Me
Suggests Me	preciseTADhub
Links To Me
Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package	preciseTAD_1.2.0.tar.gz
Windows Binary	preciseTAD_1.2.0.zip (32- & 64-bit)
macOS 10.13 (High Sierra)	preciseTAD_1.2.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/preciseTAD
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/preciseTAD
Package Short Url	https://bioconductor.org/packages/preciseTAD/
Package Downloads Report	Download Stats