Bioconductor 3.23 Release Schedule

SEMPLR

This is the development version of SEMPLR; to use it, please install the devel version of Bioconductor.

SNP Effect Matrix Pipeline in R


Bioconductor version: Development (3.23)

SEMPLR computes transcription factor binding affinity scores for genomic positions and genetic variants. Scores are computed from SNP Effect Matrices (SEMs) produced by SEMpl. 223 pre-computed SEMs are included with the package or custom sets can be provided. Enrichment can be tested among sets of genomic positions to determine if transcription factor binding events occur more often than expected. Comparing binding affinity scores between alleles can reveal differences in transcription factor binding with genetic variation. This package also includes several visualization functions to view scores both on the motif and variant/position level.

Author: Grace Kenney [aut, cre] ORCID iD ORCID: 0009-0009-6308-3150 , Douglas Phanstiel [aut], NIH NIGMS [fnd], NSF GRFP [fnd]

Maintainer: Grace Kenney <kenney.grace6 at gmail.com>

Citation (from within R, enter citation("SEMPLR")):

Installation

To install this package, start R (version "4.6") and enter:


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

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

BiocManager::install("SEMPLR")

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("SEMPLR")
SEMPLR Vignette HTML R Script
Reference Manual PDF

Details

biocViews GenomicVariation, MotifAnnotation, SNP, Software, Transcription
Version 0.99.2
In Bioconductor since BioC 3.23 (R-4.6)
License MIT + file LICENSE
Depends R (>= 4.1.0)
Imports BiocGenerics, Biostrings, GenomeInfoDb, AnnotationDbi, ggplot2, ggrepel, VariantAnnotation, GenomicRanges, GenomicFeatures, data.table, methods, scales, S4Vectors, stats, rlang, stringi, universalmotif, Rcpp, ggtree
System Requirements
URL https://github.com/grkenney/SEMPLR https://grkenney.github.io/SEMPLR
Bug Reports https://www.github.com/grkenney/SEMPLR/issues
See More
Suggests knitr, rmarkdown, BiocStyle, devtools, testthat (>= 3.0.0), IRanges, BSgenome.Hsapiens.UCSC.hg38, BSgenome.Hsapiens.UCSC.hg19, TxDb.Hsapiens.UCSC.hg38.knownGene, org.Hs.eg.db
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Package Archives

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

Source Package SEMPLR_0.99.2.tar.gz
Windows Binary (x86_64)
macOS Binary (big-sur-x86_64)
macOS Binary (big-sur-arm64)
macOS Binary (sonoma-arm64)
Source Repository git clone https://git.bioconductor.org/packages/SEMPLR
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/SEMPLR
Bioc Package Browser https://code.bioconductor.org/browse/SEMPLR/
Package Short Url https://bioconductor.org/packages/SEMPLR/
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