fastrc

Fast reverse complement of DNA and RNA sequences in R, implemented in C++ via Rcpp.

fastrc uses a static lookup table for O(1) per-base complement mapping with full IUPAC ambiguity code support. It is especially useful for reverse complementing many short sequences (e.g. primers, probes, k-mers, short reads), where per-call overhead dominates and fastrc is nearly 100x faster than the implementation in Biostrings.

Installation

# From GitHub
# devtools::install_github("steverozen/fastrc")
install.packages("fastrc", repos = c('https://steverozen.r-universe.dev', 'https://cloud.r-project.org'))

Usage

library(fastrc)

fast_rc("ATCG")
#> [1] "CGAT"

fast_rc(c("ATCG", "AAGG", NA))
#> [1] "CGAT" "CCTT" NA

fast_rc("AUCG", type = "RNA")
#> [1] "CGAU"

Features

DNA (A↔T) and RNA (A↔U) modes
Full IUPAC ambiguity code support (M↔K, R↔Y, S↔S, W↔W, V↔B, H↔D, N↔N)
Case preservation
NA handling
Vectorized over character vectors

Benchmarks

Benchmarks were run on a 12th Gen Intel i7-1270P using R's default compilation flags (-O2). See inst/benchmarks/benchmark_revc.R to reproduce.

100 sequences x 30 bp

This is where you may really want to use fastrc: many short sequences where per-call overhead matters most.

Method	Median	vs fastrc
fastrc	17 µs	1x
spgs	619 µs	36x slower
insect	1,031 µs	61x slower
Biostrings	1,613 µs	95x slower
tktools	3,277 µs	193x slower

100 sequences x 10,000 bp

Method	Median	vs fastrc
fastrc	1.4 ms	1x
Biostrings	3.4 ms	2.4x slower

10 sequences x 1,000,000 bp

Method	Median	vs fastrc
fastrc	14.2 ms	1x
Biostrings	23.8 ms	1.7x slower

Faster local builds

You can get additional speed by adding optimization flags to your ~/.R/Makevars file:

CXXFLAGS += -O3 -march=native -flto

Then reinstall the package. This typically yields a 10-20% improvement on longer sequences.

License

GPL (>= 3)