DOI: 10.18129/B9.bioc.LowMACA  

LowMACA - Low frequency Mutation Analysis via Consensus Alignment

Bioconductor version: Release (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))


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


PDF   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
Suggests BiocStyle, knitr, rmarkdown
SystemRequirements clustalo, gs, perl
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
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/
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Old Source Packages for BioC 3.17 Source Archive

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