This is the development version of pfamAnalyzeR; for the stable release version, see pfamAnalyzeR.
Identification of domain isotypes in pfam dataBioconductor version: Development (3.22)
Protein domains is one of the most import annoation of proteins we have with the Pfam database/tool being (by far) the most used tool. This R package enables the user to read the pfam prediction from both webserver and stand-alone runs into R. We have recently shown most human protein domains exist as multiple distinct variants termed domain isotypes. Different domain isotypes are used in a cell, tissue, and disease-specific manner. Accordingly, we find that domain isotypes, compared to each other, modulate, or abolish the functionality of a protein domain. This R package enables the identification and classification of such domain isotypes from Pfam data.
Author: Kristoffer Vitting-Seerup [cre, aut] ORCID: 0000-0002-6450-0608
Maintainer: Kristoffer Vitting-Seerup <k.vitting.seerup at gmail.com>
Citation (from within R, entercitation("pfamAnalyzeR")
): 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("pfamAnalyzeR")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("pfamAnalyzeR")
Details biocViews AlternativeSplicing, Annotation, BiomedicalInformatics, DataImport, FunctionalGenomics, FunctionalPrediction, GenePrediction, Software, SystemsBiology, TranscriptomeVariant Version 1.9.0 In Bioconductor since BioC 3.17 (R-4.3) (2 years) License MIT + file LICENSE Depends R (>= 4.3.0), readr, stringr, dplyr Imports utils, tibble, magrittr System Requirements URL Bug Reports https://github.com/kvittingseerup/pfamAnalyzeR/issues See More Package Archives
Follow Installation instructions to use this package in your R session.
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