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This is the development version of LowMACA; for the stable release version, see LowMACA.
Bioconductor version: Development (3.16)
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: Stefano de Pretis , Giorgio Melloni
Maintainer: Stefano de Pretis <ste.depo at gmail.com>, Giorgio Melloni <melloni.giorgio at gmail.com>
Citation (from within R,
enter citation("LowMACA")
):
To install this package, start R (version "4.2") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") # The following initializes usage of Bioc devel BiocManager::install(version='devel') 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 | 1.27.0 |
In Bioconductor since | BioC 3.1 (R-3.2) (7.5 years) |
License | GPL-3 |
Depends | R (>= 2.10) |
Imports | cgdsr, parallel, stringr, reshape2, data.table, RColorBrewer, methods, LowMACAAnnotation, BiocParallel, motifStack, Biostrings, httr, grid, gridBase |
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 | |
macOS 10.13 (High Sierra) | |
Source Repository | git clone https://git.bioconductor.org/packages/LowMACA |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/LowMACA |
Package Short Url | https://bioconductor.org/packages/LowMACA/ |
Package Downloads Report | Download Stats |
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