traseR
GWAS trait-associated SNP enrichment analyses in genomic intervals
Bioconductor version: Release (3.19)
traseR performs GWAS trait-associated SNP enrichment analyses in genomic intervals using different hypothesis testing approaches, also provides various functionalities to explore and visualize the results.
Author: Li Chen, Zhaohui S.Qin
Maintainer: li chen<li.chen at emory.edu>
Citation (from within R, enter
citation("traseR")
):
Installation
To install this package, start R (version "4.4") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("traseR")
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("traseR")
Perform GWAS trait-associated SNP enrichment analyses in genomic intervals | R Script | |
Reference Manual |
Details
biocViews | Alignment, Coverage, DataImport, Genetics, QualityControl, Sequencing, Software |
Version | 1.34.0 |
In Bioconductor since | BioC 3.2 (R-3.2) (9 years) |
License | GPL |
Depends | R (>= 3.5.0), GenomicRanges, IRanges, BSgenome.Hsapiens.UCSC.hg19 |
Imports | |
System Requirements | |
URL |
See More
Suggests | BiocStyle, RUnit, BiocGenerics |
Linking To | |
Enhances | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | traseR_1.34.0.tar.gz |
Windows Binary (x86_64) | traseR_1.34.0.zip (64-bit only) |
macOS Binary (x86_64) | traseR_1.34.0.tgz |
macOS Binary (arm64) | traseR_1.34.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/traseR |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/traseR |
Bioc Package Browser | https://code.bioconductor.org/browse/traseR/ |
Package Short Url | https://bioconductor.org/packages/traseR/ |
Package Downloads Report | Download Stats |