LowMACA
This package is for version 3.18 of Bioconductor. This package has been removed from Bioconductor. For the last stable, up-to-date release version, see LowMACA.
LowMACA - Low frequency Mutation Analysis via Consensus Alignment
Bioconductor version: 3.18
The LowMACA package is a simple suite of tools to investigate and analyze the mutation profile of several proteins or pfam domains via consensus alignment. You can conduct an hypothesis driven exploratory analysis using our package simply providing a set of genes or pfam domains of your interest.
Author: Giorgio Melloni , Stefano de Pretis
Maintainer: Giorgio Melloni <melloni.giorgio at gmail.com> , Stefano de Pretis <ste.depo at gmail.com>
citation("LowMACA")
):
Installation
To install this package, start R (version "4.3") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("LowMACA")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
Reference Manual |
Details
biocViews | Alignment, DataImport, MultipleSequenceAlignment, SequenceMatching, Sequencing, Software, SomaticMutation, WholeGenome |
Version | 1.31.0 |
In Bioconductor since | BioC 3.1 (R-3.2) (9 years) |
License | GPL-3 |
Depends | R (>= 2.10) |
Imports | cBioPortalData, parallel, stringr, reshape2, data.table, RColorBrewer, methods, LowMACAAnnotation, BiocParallel, motifStack, Biostrings, httr, grid, gridBase, plyr |
System Requirements | clustalo, gs, perl |
URL |
See More
Suggests | BiocStyle, knitr, rmarkdown |
Linking To | |
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Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | |
Windows Binary | |
macOS Binary (x86_64) | LowMACA_1.31.0.tgz |
macOS Binary (arm64) | |
Source Repository | git clone https://git.bioconductor.org/packages/LowMACA |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/LowMACA |
Bioc Package Browser | https://code.bioconductor.org/browse/LowMACA/ |
Package Short Url | https://bioconductor.org/packages/LowMACA/ |
Package Downloads Report | Download Stats |