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Bioconductor - annmap (development version)

annmap

This is the development version of annmap; for the stable release version, see annmap.

Genome annotation and visualisation package pertaining to Affymetrix arrays and NGS analysis.

Bioconductor version: Development (3.22)

annmap provides annotation mappings for Affymetrix exon arrays and coordinate based queries to support deep sequencing data analysis. Database access is hidden behind the API which provides a set of functions such as genesInRange(), geneToExon(), exonDetails(), etc. Functions to plot gene architecture and BAM file data are also provided. Underlying data are from Ensembl. The annmap database can be downloaded from: https://figshare.manchester.ac.uk/account/articles/16685071

Author: Tim Yates <Tim.Yates at cruk.manchester.ac.uk>

Maintainer: Chris Wirth <Christopher.Wirth at cruk.manchester.ac.uk>

Citation (from within R, enter citation("annmap")): Installation

To install this package, start R (version "4.5") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("annmap")

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

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("annmap")
annmap installation instruction PDF annmap primer PDF The Annmap Cookbook PDF Reference Manual PDF README Text NEWS Text LICENSE Text Details biocViews Annotation, Microarray, OneChannel, ReportWriting, Software, Transcription, Visualization Version 1.51.0 In Bioconductor since BioC 2.11 (R-2.15) (13 years) License GPL-2 Depends R (>= 2.15.0), methods, GenomicRanges Imports DBI, RMySQL (>= 0.6-0), digest, Biobase, grid, lattice, Rsamtools, genefilter, IRanges, BiocGenerics System Requirements URL https://github.com/cruk-mi/annmap See More Package Archives

Follow Installation instructions to use this package in your R session.


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