| Crates.io | kbo |
| lib.rs | kbo |
| version | 0.5.1 |
| created_at | 2024-11-18 12:45:26.796382+00 |
| updated_at | 2025-03-31 13:49:02.69844+00 |
| description | Local alignment search with k-bounded matching statistics. |
| homepage | https://github.com/tmaklin/kbo |
| repository | https://github.com/tmaklin/kbo |
| max_upload_size | |
| id | 1452168 |
| size | 330,870 |
Local alignment search with k-bounded matching statistics.
kbo is an approximate local aligner based on converting k-bounded matching statistics into a character representation of the underlying alignment sequence.
Documentation is available at https://docs.rs/kbo.
kbo is distributed as three separate Rust packages:
kbo call, kbo find and kbo map.kbo supports three main operations:
kbo call calls single and multi base substitutions,
insertions, and deletions in a query sequence against a reference and
reports their positions and sequences. Call is useful for problems that
require .vcf files.kbo find matches the k-mers in a query sequence with the
reference and reports the local alignment segments found within the
reference. Find is useful for problems that can be solved with
blast.kbo map maps the query sequence against a reference
sequence, and reports the nucleotide sequence of the alignment relative to
the reference. Map solves the same problem as
snippy and ska
map.In addition to the three main operations, the core library provides high and low-level functions that can be used in other libraries.
kbo uses the Spectral Burrows-Wheeler Transform data structure that allows efficient k-mer matching between a target and a query sequence and fast retrieval of the k-bounded matching statistic for each k-mer match.
kbo is dual-licensed under the MIT and Apache 2.0 licenses.