[](https://crates.io/crates/sassy)
[](https://anaconda.org/bioconda/sassy)
[](https://pypi.org/project/sassy-rs/)
[](https://docs.rs/sassy)
[](https://doi.org/10.1101/2025.07.22.666207)
**WARNING:** Versions up to `0.1.9` had a shameful bug in the `sassy grep` CLI where after
every 1MB of input it would skip one record. Please update.
# Sassy: SIMD-accelerated Approximate String Matching
Sassy is a library and tool for searching short strings in texts,
a problem that goes by many names:
- approximate string matching,
- pattern matching,
- fuzzy searching.
The motivating application is searching short (length 20 to 100) DNA sequences
in a human genome or e.g. in a set of reads.
Sassy generally works well for patterns/queries up to length 1000,
and supports both ASCII, DNA, and IUPAC.
It has a `grep`-like mode for quick human inspection, as well as `search` to
report locations of matches, and `filter` to only output (non)-matching records.
Highlights:
- Sassy uses bitpacking and SIMD (both AVX2 and NEON supported).
Its main novelty is tiling these in the text direction.
- Support for _overhang_ alignments where the pattern extends beyond the text.
- Support for (case-insensitive) ASCII, DNA (`ACGT`), and
[IUPAC](https://www.bioinformatics.org/sms/iupac.html) (=`ACGT+NYR...`) alphabets.
- Rust library (`cargo add sassy`), binary (`cargo install sassy`, see details below), Python
bindings (`pip install sassy-rs`), and C bindings (see below).
See **the paper**, and corresponding evals in [evals/](evals/):
> Rick Beeloo and Ragnar Groot Koerkamp.
> Sassy: Searching Short DNA Strings in the 2020s.
> bioRxiv, July 2025.
> https://doi.org/10.1101/2025.07.22.666207.
## Installation
### Prebuilt binaries
See the latest [release](https://github.com/RagnarGrootKoerkamp/sassy/releases).
You can also get these via
``` sh
cargo binstall sassy
```
or via conda/mamba/pixi:
``` sh
conda install -c bioconda sassy
```
### Build from source
``` sh
RUSTFLAGS="-C target-cpu=native" cargo install sassy
```
Sassy uses AVX2 or NEON instructions performance reasons, which requires either
`target-cpu=native` or `target-cpu=x86-64-v3` on x64 machines.
See [this README](https://github.com/ragnargrootkoerkamp/ensure_simd) for details and [this
blog](https://curiouscoding.nl/posts/distributing-rust-simd-binaries/) for background.
The same restrictions apply when using the sassy library in a larger project.
Sassy requires Rust 1.91 or newer. Get it via `rustup update`. (Switch to
[rustup](https://rustup.rs) when your system installation is too old).
## Usage
Sassy can be used via the CLI, or as Rust, Python, or C library.
### 0. Rust library
The library can be used to search for ASCII or DNA strings.
A larger example can be found in [`src/lib.rs`](src/lib.rs).
```rust
// cargo add sassy
use sassy::{Searcher, Match, profiles::Iupac, Strand};
let pattern = b"ATCG";
let text = b"AAAATTGAAA";
let k = 1;
// The Iupac profile supports N and YR... characters.
// If you are sure you only have ACGT input, then `profiles::Dna` is slightly faster.
let mut searcher = Searcher::<Iupac>::new_fwd();
let matches = searcher.search(pattern, &text, k);
assert_eq!(matches.len(), 1);
assert_eq!(matches[0].text_start, 3);
assert_eq!(matches[0].text_end, 7);
assert_eq!(matches[0].cost, 1);
assert_eq!(matches[0].strand, Strand::Fwd);
assert_eq!(matches[0].cigar.to_string(), "2=1X1=");
```
### 1. Command-line interface (CLI)
The CLI can be used via:
1. `sassy grep`: to show nicely coloured output.
2. `sassy search`: to write a `.tsv` of matching locations.
3. `sassy filter`: to write a `.fasta`/`.fastq` of (non)-matching records.
4. `sassy crispr`: to search for CRISPR guides.
`grep`, `search`, and `filter` all take the same arguments, and are implemented
by forwarding to `grep`. Thus, they can all be combined via e.g.
```sh
sassy grep -p ACGTCAAACCTA -k 3 --matches matches.tsv --output filtered.fastq reads.fastq.gz
```
#### 1.1: Grep for a pattern
**Search a pattern** `ATGAGCA` in `text.fasta` with ≤1 edit:
```bash
sassy search --pattern ATGAGCA -k 1 text.fasta
```
or search all records of a fasta file with `--pattern-fasta <fasta-file>` instead of `--pattern`.
The `grep` output is coloured:
- green shows matching characters,
- orange shows mismatches,
- red shows deleted characters (in pattern but not in text),
- blue shows inserted characters (in text but not in pattern).
#### 1.2: TSV output for matches
```sh
sassy search -p GTACAGAAACGAGCGGATGGAAAGAGTAGTGAGCGCCTCGCG -k 2 reads.fa > matches.tsv
# or
sassy search -p GTACAGAAACGAGCGGATGGAAAGAGTAGTGAGCGCCTCGCG -k 2 reads.fa --matches matches.tsv
# or
sassy grep -p GTACAGAAACGAGCGGATGGAAAGAGTAGTGAGCGCCTCGCG -k 2 reads.fa --matches matches.tsv
```
gives `.tsv` output like this:
```tsv
pat_id text_id cost strand start end match_region cigar
pattern AC_000001.1__1_1 0 + 6 48 GTACAGAAACGAGCGGATGGAAAGAGTAGTGAGCGCCTCGCG 42=
pattern AC_000001.1__1_35 0 + 897 939 GTACAGAAACGAGCGGATGGAAAGAGTAGTGAGCGCCTCGCG 42=
pattern AC_000001.1__1_49 1 + 866 908 GTACAGAAACGAGCGGATGGAAAGAGTAGTGAGCGCCGCGCG 37=1X4=
pattern AC_000001.1__1_64 0 - 1267 1309 GTACAGAAACGAGCGGATGGAAAGAGTAGTGAGCGCCTCGCG 42=
pattern AC_000001.1__1_67 0 + 600 642 GTACAGAAACGAGCGGATGGAAAGAGTAGTGAGCGCCTCGCG 42=
pattern AC_000001.1__1_68 0 - 1826 1868 GTACAGAAACGAGCGGATGGAAAGAGTAGTGAGCGCCTCGCG 42=
pattern AC_000001.1__1_78 3 - 4381 4425 GTACAGAAACGAGCGGATGGAAAATAGTAGTGAGCGGCCTCGCG 23=1X1I10=1I8=
pattern AC_000001.1__1_92 0 - 6554 6596 GTACAGAAACGAGCGGATGGAAAGAGTAGTGAGCGCCTCGCG 42=
pattern AC_000001.1__1_94 0 - 6413 6455 GTACAGAAACGAGCGGATGGAAAGAGTAGTGAGCGCCTCGCG 42=
pattern AC_000001.1__1_115 2 + 2091 2131 GTACAGAAACGAGCATGGAAAGAGTAGTGAGCGCCTCGCG 14=2D26=
pattern AC_000001.1__1_118 0 - 3062 3104 GTACAGAAACGAGCGGATGGAAAGAGTAGTGAGCGCCTCGCG 42=
pattern AC_000001.1__1_123 0 + 1416 1458 GTACAGAAACGAGCGGATGGAAAGAGTAGTGAGCGCCTCGCG 42=
pattern AC_000001.1__1_127 0 + 27 69 GTACAGAAACGAGCGGATGGAAAGAGTAGTGAGCGCCTCGCG 42=
```
#### 1.3: Filter matching records
```sh
sassy filter -p GTACAGAAACGAGCGGATGGAAAGAGTAGTGAGCGCCTCGCG -k 2 reads.fq > filtered.fq
# or
sassy filter -p GTACAGAAACGAGCGGATGGAAAGAGTAGTGAGCGCCTCGCG -k 2 reads.fq -o filtered.fq
# or
sassy grep -p GTACAGAAACGAGCGGATGGAAAGAGTAGTGAGCGCCTCGCG -k 2 reads.fq -o filtered.fq
```
Writes a file containing only matching records. Use `--invert` to only
write non-matching records.
#### 1.4: CRISPR off-target search
Search for one or more guides in `guides.txt`:
```bash
sassy crispr --threads 8 --guide guides.txt --k 5 --max-n-frac 0.1 --output hits.tsv hg38.fasta
```
Allows `<= k` edits in the sgRNA, and the PAM (the last 3 characters of each guide) has to match exactly, unless `--allow-pam-edits` is given.
Output of the `crispr` command is a tab-delimited file with one row per hit, e.g.:
```text
guide text_id cost strand start end match_region cigar
GAGTCCGAGCAGAAGAAGAANGG chr21 5 + 5024135 5024154 GAGGCCACAGAGAAGAGGG 3=1X2=1D1=1D3=1D5=1D4=
GAGTCCGAGCAGAAGAAGAANGG chr21 3 + 21087337 21087359 gagaccgaggagaagaaaaagg 3=1X5=1X7=1D5=
GAGTCCGAGCAGAAGAAGAANGG chr21 3 - 9701297 9701320 GACTCGAGCATGAAGAAGAAAGG 2=1X1=1D6=1I12=
GAGTCCGAGCAGAAGAAGAANGG chr21 5 - 46396975 46396998 CAGTCCCAGCAGACGACGGACGG 1X5=1X6=1X2=1X1=1X4=
```
The `start` and `end` are 0-based open-ended (i.e. 0-based inclusive of the
start, but exclusive of the end), and `start` is always less than `end`
(regardless of the strand). The
`match_region` reported will be the sequence from the target file when `strand` is `+`, or the reverse complement
of the sequence from the target file when `strand` is `-`, so that it matches the `guide` sequence.
The `cigar` is always oriented to read left-to-right with the provided guide and `match_region` sequences.
Note that this searches for approximate occurrences of the guide
sequence itself, and _not_ for reverse-complement _binding_ sites.
If binding sites are to be found, please reverse-complement the input or output manually.
### 2. Python bindings
PyPI wheels can be installed with:
```bash
pip install sassy-rs
```
```python
import sassy
pattern = b"ACTG"
text = b"ACGGCTACGCAGCATCATCAGCAT"
searcher = sassy.Searcher("dna") # ascii / dna / iupac
matches = searcher.search(pattern, text, k=1)
for m in matches:
print(m)
```
See [python/README.md](python/README.md) for more details.
### 3. C library
See [c/README.md](c/README.md) for details. Quick example:
```c
#include "sassy.h"
int main() {
const char* pattern = "ACTG";
const char* text = "ACGGCTACGCAGCATCATCAGCAT";
// DNA alphabet, with reverse complement, without overhang.
sassy_SearcherType* searcher = sassy_searcher("dna", true, NAN);
sassy_Match* out_matches = NULL;
size_t n_matches = search(searcher,
pattern, strlen(pattern),
text, strlen(text),
1, // k=1
&out_matches);
sassy_matches_free(out_matches, n_matches);
sassy_searcher_free(searcher);
}
```