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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: Release (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> , Stefano de Pretis <ste.depo at>

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.


Reference Manual PDF


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
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Suggests BiocStyle, knitr, rmarkdown
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Follow Installation instructions to use this package in your R session.

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macOS Binary (x86_64) LowMACA_1.31.0.tgz
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