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  "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<doi:10.1371/journal.pone.0082138> 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",
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  "Repository": "https://nanxstats.r-universe.dev",
  "Date/Publication": "2024-09-17 22:19:48 UTC",
  "RemoteUrl": "https://github.com/nanxstats/ssw-r",
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    "User": "root"
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  "Author": "Nan Xiao [aut, cre, cph] (ORCID:\n<https://orcid.org/0000-0002-0250-5673>)",
  "Maintainer": "Nan Xiao <me@nanx.me>",
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    "message": "Merge pull request #24 from nanxstats/news\n\nUpdate news for v0.2.1",
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    "login": "nanxstats",
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    "description": "Senior Principal DSX Data Scientist @Genentech. Prev principal biostatistician @Merck, senior genomic data scientist @sbg.",
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    "reticulate",
    "sequence-alignment",
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      "title": "Perform Smith-Waterman alignment of a read against a reference sequence",
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      "title": "Print SSW alignment results",
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