This package is for version 3.17 of Bioconductor; for the stable, up-to-date release version, see LowMACA.
Bioconductor version: 3.17
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 (from within R,
enter citation("LowMACA")
):
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.
Reference Manual |
biocViews | Alignment, DataImport, MultipleSequenceAlignment, SequenceMatching, Sequencing, Software, SomaticMutation, WholeGenome |
Version | 1.30.0 |
In Bioconductor since | BioC 3.1 (R-3.2) (8.5 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 |
LinkingTo | |
Suggests | BiocStyle, knitr, rmarkdown |
SystemRequirements | clustalo, gs, perl |
Enhances | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | |
Windows Binary | LowMACA_1.30.0.zip |
macOS Binary (x86_64) | LowMACA_1.30.0.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 |
Documentation »
Bioconductor
R / CRAN packages and documentation
Support »
Please read the posting guide. Post questions about Bioconductor to one of the following locations: