ssw-r offers an R interface for SSW, a fast implementation of the Smith-Waterman algorithm for sequence alignment using SIMD. ssw-r is currently built on the Python package ssw-py.
Install ssw-r from GitHub:
remotes::install_github("nanxstats/ssw-r")
Installed ssw-py via pip:
pip3 install ssw-py
reticulate::use_python("/usr/local/bin/python3")
library("ssw")
"ACGT" %>% align("TTTTACGTCCCCC")
"ACGT" %>% align("TTTTACTCCCCC", gap_open = 3)
"ACTG" %>% force_align("TTTTCTGCCCCCACG") %>% formatter(print = TRUE)
If you have already installed Python and ssw-py, and want to develop ssw-r in RStudio, simply create a file .Rprofile
under the package directory and set the Python binary path (Homebrew Python 3 path example below):
Sys.setenv(RETICULATE_PYTHON = "/usr/local/bin/python3")
The next time you open the project, the correct Python path and library path should be already set. For more technical details, see reticulate Python version configuration.
This project is licensed under the MIT license.