{ "_id": "6ad08600e2d863f6629556a1", "Package": "ssw", "Title": "Striped Smith-Waterman Algorithm for Sequence Alignment using\nSIMD", "Version": "0.2.1", "Authors@R": "c(\nperson(\"Nan\", \"Xiao\", email = \"me@nanx.me\", role = c(\"aut\", \"cre\", \"cph\"),\ncomment = c(ORCID = \"0000-0002-0250-5673\"))\n)", "Description": "Provides an R interface for 'SSW' (Striped Smith-Waterman)\nvia its 'Python' binding 'ssw-py'. 'SSW' is a fast 'C' and\n'C++' implementation of the Smith-Waterman algorithm for\npairwise sequence alignment using\nSingle-Instruction-Multiple-Data (SIMD) instructions. 'SSW'\nenhances the standard algorithm by efficiently returning\nalignment information and suboptimal alignment scores. The core\n'SSW' library offers performance improvements for various\nbioinformatics tasks, including protein database searches,\nshort-read alignments, primary and split-read mapping,\nstructural variant detection, and read-overlap graph\ngeneration. These features make 'SSW' particularly useful for\ngenomic applications. Zhao et al. (2013)\n developed the original 'C'\nand 'C++' implementation.", "License": "MIT + file LICENSE", "URL": "https://nanx.me/ssw-r/, https://github.com/nanxstats/ssw-r", "BugReports": "https://github.com/nanxstats/ssw-r/issues", "Encoding": "UTF-8", "SystemRequirements": "Python (>= 3.6.0), ssw-py (>= 1.0.0). 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