# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "ssw" in publications use:' type: software license: MIT title: 'ssw: Striped Smith-Waterman Algorithm for Sequence Alignment using SIMD' version: 0.2.1 doi: 10.1371/journal.pone.0082138 identifiers: - type: doi value: 10.32614/CRAN.package.ssw abstract: 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) developed the original 'C' and 'C++' implementation. authors: - family-names: Xiao given-names: Nan email: me@nanx.me orcid: https://orcid.org/0000-0002-0250-5673 preferred-citation: type: article title: 'SSW library: an SIMD Smith-Waterman C/C++ library for use in genomic applications' authors: - family-names: Zhao given-names: Mengyao - family-names: Lee given-names: Wan-Ping - family-names: Garrison given-names: Erik P - family-names: Marth given-names: Gabor T journal: PloS ONE volume: '8' issue: '12' year: '2013' doi: 10.1371/journal.pone.0082138 start: e82138 repository: https://nanxstats.r-universe.dev repository-code: https://github.com/nanxstats/ssw-r commit: 9b36eb0fcb17d5027d3aaf33d2f680200414eeb7 url: https://nanx.me/ssw-r/ contact: - family-names: Xiao given-names: Nan email: me@nanx.me orcid: https://orcid.org/0000-0002-0250-5673