rSWeeP
Functions to creation of low dimensional comparative matrices of Amino Acid Sequence occurrences
Bioconductor version: Release (3.17)
The SWeeP method was developed to favor the analizes between amino acids sequences and to assist alignment free phylogenetic studies. This method is based on the concept of sparse words, which is applied in the scan of biological sequences and its the conversion in a matrix of ocurrences. Aiming the generation of low dimensional matrices of Amino Acid Sequence occurrences.
Author: Danrley R. Fernandes [com, cre, aut]
Maintainer: Danrley R. Fernandes <DanrleyRF at gmail.com>
citation("rSWeeP")
):
Installation
To install this package, start R (version "4.3") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("rSWeeP")
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("rSWeeP")
rSWeeP | HTML | R Script |
Reference Manual | ||
NEWS | Text |
Details
biocViews | Alignment, Genetics, Sequencing, Software, StatisticalMethod, SupportVectorMachine, Technology |
Version | 1.12.0 |
In Bioconductor since | BioC 3.11 (R-4.0) (3.5 years) |
License | GPL-3 |
Depends | R (>= 4.0) |
Imports | pracma, stats |
Linking To | |
Suggests | Biostrings, methods, knitr, rmarkdown, BiocStyle |
System Requirements | |
Enhances | |
URL |
See More
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | rSWeeP_1.12.0.tar.gz |
Windows Binary | rSWeeP_1.12.0.zip |
macOS Binary (x86_64) | rSWeeP_1.12.0.tgz |
macOS Binary (arm64) | rSWeeP_1.12.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/rSWeeP |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/rSWeeP |
Bioc Package Browser | https://code.bioconductor.org/browse/rSWeeP/ |
Package Short Url | https://bioconductor.org/packages/rSWeeP/ |
Package Downloads Report | Download Stats |