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DNAcycP2

This is the development version of DNAcycP2; for the stable release version, see DNAcycP2.

All versions 3.24 (devel), 3.23 (release), 3.22, 3.21

DNA Cyclizability Prediction


Bioconductor version: Development (3.24)

This package performs prediction of intrinsic cyclizability of of every 50-bp subsequence in a DNA sequence. The input could be a file either in FASTA or text format. The output will be the C-score, the estimated intrinsic cyclizability score for each 50 bp sequences in each entry of the sequence set.

Author: Brody Kendall [aut], Keren Li [aut], Ji-Ping Wang [aut, cre] ORCID iD ORCID: 0000-0002-8398-939X

Maintainer: Ji-Ping Wang <jzwang at northwestern.edu>

Citation (from within R, enter citation("DNAcycP2")):

Brody Kendall, Keren Li, Ji-Ping Wang. DNAcycP2: DNA Cyclizability Prediction. doi:10.18129/B9.bioc.DNAcycP2, R package version 1.5.1, https://bioconductor.org/packages/DNAcycP2.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

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

## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")

BiocManager::install("DNAcycP2")

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("DNAcycP2")
DNAcycP2 HTML R Script
Reference ManualPDF
NEWSText

Details

biocViews NeuralNetwork, Software, StructuralPrediction
Version1.5.1
In Bioconductor sinceBioC 3.21 (R-4.5) (1.5 years)
License Artistic-2.0
Depends R (>= 4.4.0)
Imports basilisk, reticulate
System Requirements
URLhttps://github.com/jipingw/DNAcycP2
Bug Reportshttps://github.com/jipingw/DNAcycP2
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Suggests knitr, rmarkdown, BiocGenerics, RUnit, tinytest, BiocStyle, Biostrings
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Package Archives

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

Source Package DNAcycP2_1.5.1.tar.gz
Windows Binary (x86_64) DNAcycP2_1.5.1.zip (64-bit only)
macOS Binary (big-sur-x86_64) DNAcycP2_1.5.1.tgz
macOS Binary (sonoma-arm64) DNAcycP2_1.5.1.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/DNAcycP2
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/DNAcycP2
Package Short Url https://bioconductor.org/packages/DNAcycP2/
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