Bioconductor version: Release (3.17)
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]
Maintainer: Kristoffer Vitting-Seerup <k.vitting.seerup at gmail.com>
Citation (from within R,
enter citation("pfamAnalyzeR")
):
To install this package, start R (version "4.3") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("pfamAnalyzeR")
For older versions of R, please refer to the appropriate Bioconductor release.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("pfamAnalyzeR")
HTML | R Script | pfamAnalyzeR |
Reference Manual | ||
Text | NEWS | |
Text | LICENSE |
biocViews | AlternativeSplicing, Annotation, BiomedicalInformatics, DataImport, FunctionalGenomics, FunctionalPrediction, GenePrediction, Software, SystemsBiology, TranscriptomeVariant |
Version | 1.0.1 |
In Bioconductor since | BioC 3.17 (R-4.3) (< 6 months) |
License | MIT + file LICENSE |
Depends | R (>= 4.3.0), readr, stringr, dplyr |
Imports | utils, tibble, magrittr |
LinkingTo | |
Suggests | BiocStyle, knitr, rmarkdown |
SystemRequirements | |
Enhances | |
URL | |
BugReports | https://github.com/kvittingseerup/pfamAnalyzeR/issues |
Depends On Me | IsoformSwitchAnalyzeR |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | pfamAnalyzeR_1.0.1.tar.gz |
Windows Binary | pfamAnalyzeR_1.0.1.zip |
macOS Binary (x86_64) | pfamAnalyzeR_1.0.1.tgz |
macOS Binary (arm64) | pfamAnalyzeR_1.0.1.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/pfamAnalyzeR |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/pfamAnalyzeR |
Bioc Package Browser | https://code.bioconductor.org/browse/pfamAnalyzeR/ |
Package Short Url | https://bioconductor.org/packages/pfamAnalyzeR/ |
Package Downloads Report | Download Stats |
Old Source Packages for BioC 3.17 | Source Archive |
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