R package rBLAST - R Interface for the Basic Local Alignment Search Tool
Interfaces the Basic Local Alignment Search Tool (BLAST) to search
genetic sequence data bases with the Bioconductor infrastructure. This
includes interfaces to blastn, blastp, blastx, and makeblastdb.
The BLAST software needs to be downloaded and installed separately.
Other R interfaces for bioinformatics are also available:
rMSA: Interface for Popular
Multiple Sequence Alignment Tools including ClustalW, MAFFT, MUSCLE,
and Kalign
Installation
Install the BLAST software by following the instructions in the
INSTALL
file.
Install the latest version of the R package
if (!require("BiocManager", quietly = TRUE)) {
install.packages("BiocManager")
}
# The following initializes usage of Bioc devel
BiocManager::install(version = "devel")
BiocManager::install("rBLAST")
@Misc{,
title = {{rBLAST:} {R} Interface for the Basic Local Alignment Search Tool},
author = {Michael Hahsler and Annurag Nagar},
year = {2024},
doi = {10.18129/B9.bioc.rBLAST},
note = {R package version 0.99.4},
howpublished = {Bioconductor version: Release (3.19)},
}
R package rBLAST - R Interface for the Basic Local Alignment Search Tool
Interfaces the Basic Local Alignment Search Tool (BLAST) to search genetic sequence data bases with the Bioconductor infrastructure. This includes interfaces to
blastn,blastp,blastx, andmakeblastdb. The BLAST software needs to be downloaded and installed separately.Other R interfaces for bioinformatics are also available:
Installation
Install the BLAST software by following the instructions in the INSTALL file.
Install the latest version of the R package
Usage
Download the prebuilt 16S Microbial data base from NCBI’s ftp server at: https://ftp.ncbi.nlm.nih.gov/blast/db/
Load the downloaded BLAST database.
Load some test sequences shipped with the package.
Query the BLAST database to find matches for the first test sequence with a 99% percent identity or higher.
Citation Request
To cite package ‘rBLAST’ in publications use:
Acknowledgments
This work was partially supported by grant no. R21HG005912 from the National Human Genome Research Institute.