Department of Ecology and Evolution, Research School of Biology, Australian National University, Canberra, Australian Capital Territory, Australia.
The Garvan Institute of Medical Research, Darlinghurst, New South Wales, Australia.
Genome Biol Evol. 2021 Mar 1;13(3). doi: 10.1093/gbe/evab028.
sangeranalyseR is feature-rich, free, and open-source R package for processing Sanger sequencing data. It allows users to go from loading reads to saving aligned contigs in a few lines of R code by using sensible defaults for most actions. It also provides complete flexibility for determining how individual reads and contigs are processed, both at the command-line in R and via interactive Shiny applications. sangeranalyseR provides a wide range of options for all steps in Sanger processing pipelines including trimming reads, detecting secondary peaks, viewing chromatograms, detecting indels and stop codons, aligning contigs, estimating phylogenetic trees, and more. Input data can be in either ABIF or FASTA format. sangeranalyseR comes with extensive online documentation and outputs aligned and unaligned reads and contigs in FASTA format, along with detailed interactive HTML reports. sangeranalyseR supports the use of colorblind-friendly palettes for viewing alignments and chromatograms. It is released under an MIT licence and available for all platforms on Bioconductor (https://bioconductor.org/packages/sangeranalyseR, last accessed February 22, 2021) and on Github (https://github.com/roblanf/sangeranalyseR, last accessed February 22, 2021).
sangeranalyseR 是一个功能丰富、免费且开源的 R 包,用于处理 Sanger 测序数据。它允许用户通过使用大多数操作的合理默认值,从加载读取到保存对齐的重叠群,仅用几行 R 代码即可完成操作。它还为确定如何处理单个读取和重叠群提供了完全的灵活性,既可以在 R 中的命令行进行,也可以通过交互式 Shiny 应用程序进行。sangeranalyseR 为 Sanger 处理管道的所有步骤提供了广泛的选项,包括修剪读取、检测二级峰、查看色谱图、检测插入缺失和终止密码子、对齐重叠群、估计系统发育树等。输入数据可以是 ABIF 或 FASTA 格式。sangeranalyseR 附带了详细的在线文档,并以 FASTA 格式输出对齐和未对齐的读取和重叠群,以及详细的交互式 HTML 报告。sangeranalyseR 支持使用色盲友好的调色板来查看对齐和色谱图。它根据 MIT 许可证发布,可在 Bioconductor(https://bioconductor.org/packages/sangeranalyseR,最后访问日期:2021 年 2 月 22 日)和 Github(https://github.com/roblanf/sangeranalyseR,最后访问日期:2021 年 2 月 22 日)上的所有平台使用。