ssw
0.2.1Striped Smith-Waterman Algorithm for Sequence Alignment using SIMD
Overview
Provides an R interface for 'SSW' (Striped Smith-Waterman) via its 'Python' binding 'ssw-py'. 'SSW' is a fast 'C' and 'C++' implementation of the Smith-Waterman algorithm for pairwise sequence alignment using Single-Instruction-Multiple-Data (SIMD) instructions. 'SSW' enhances the standard algorithm by efficiently returning alignment information and suboptimal alignment scores. The core 'SSW' library offers performance improvements for various bioinformatics tasks, including protein database searches, short-read alignments, primary and split-read mapping, structural variant detection, and read-overlap graph generation. These features make 'SSW' particularly useful for genomic applications. Zhao et al. (2013) doi:10.1371/journal.pone.0082138 developed the original 'C' and 'C++' implementation.
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Health
- OK2026-06-0913 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- WARNING2026-06-0812 OK · 0 NOTE · 1 WARNING · 0 ERROR · 0 FAILURE
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
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Dependencies
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Code & Tests
- Cyclomatic complexity
- 1.0 median / 3 max
- Documented parameters
- 100%
- System requirements
- 2 external
Test coverage
Line coverage
–
Expression
–
Tests / Examples
–
Functions
7 5 exported
Complexity
1.4 avg / 3 max
Call network
7 nodes / 0 edges
Test coverage has not been measured for this package yet; nodes fall back to a neutral fill.
Call graph
Open call graph →Lowest coverage
Per-function coverage is not measured for this package yet.
People & History
2 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- 0.2.1Latest
- 0.2.02024-09-05
- RR 4.4.0 released · 2024-04-24
Package metadata
- First published
- 2024-09-05
- Total releases
- 2 / 2 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 4.1.0
- Download size
- 257 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet