IIRS is an Iupac Inverted RepeatS finder written in rust (rs), ported from IUPACpal, result of this paper.
That is, an exact tool for efficient identification of Inverted Repeats (IRs) in IUPAC-encoded DNA sequences as substrings of a large text, allowing also for potential mismatches and gaps.
Compared to the original, this version is faster, platform-independent and modular, facilitating the creation of customized format outputs. It does not require cmake
nor sdsl
. It uses divsufsort instead of libdivsufsort.
The command line shares much of the functionality of the original IUPACpal.
Type iirs --help
for a full description.
The notable differences are:
- Support for multiple sequence names.
ALL_SEQUENCES
argument for processing all the sequences in the input file.- Output format.
iirs -f input.fasta -s 't1 t2' -g 5 -F csv
iirs -f input.fasta --seq-names t1 --max-gap 5 --output-format csv
iirs -f input.fasta -s ALL_SEQUENCES -g 5 -m 3 -F csv
Many more practical examples can be found in the justfile.
You can either build from source:
$ cargo install iirs
Or download the latest binary from releases and extract it somewhere on your $PATH
.
The default uses a Sparse Table implementation for the range minimum query, and it is sequential over IR centers. To change this behaviour you can use the features tabulation
, parallel
or a combination of both. This may result in a significant speed increase:
cargo install iirs --features "parallel tabulation"
It can also be used as a library both in rust and python.
cargo add iirs [--features X]
Or to python, after cloning the repo, via (no wheels yet):
pip install py-iirs/
Both libraries are minimal and only contain a struct / class SearchParams
that does some bound checking, and a find_irs
function.
cargo test
for unit tests.- Justfile for individual tests against sequences. Some use the Linux profiler perf. To see the full list of commands use
just -l
. bench.rs
benches against a single file. To use together withjust bench
after modifying the parameters inbench.rs
. To test against different features you can add them as arguments:just bench parallel
orjust bench parallel tabulation
.logs.rs
benches against the cpp binary. You will need a IUPACpal binary (and they only support Linux). The binary is expected to be in the bench folder, but that can be changed inlogs.rs
andvalidate.py
.- Note that
just heatmap
requires the python libraries listed inbench/requirements.txt
.