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sangeranalyseR: Simple and Interactive Processing of Sanger Sequencing Data in R.
Chao, Kuan-Hao; Barton, Kirston; Palmer, Sarah; Lanfear, Robert.
Afiliação
  • Chao KH; Department of Ecology and Evolution, Research School of Biology, Australian National University, Canberra, Australian Capital Territory, Australia.
  • Barton K; The Garvan Institute of Medical Research, Darlinghurst, New South Wales, Australia.
  • Palmer S; The University of Sydney School of Medicine, New South Wales, Australia.
  • Lanfear R; Department of Ecology and Evolution, Research School of Biology, Australian National University, Canberra, Australian Capital Territory, Australia.
Genome Biol Evol ; 13(3)2021 03 01.
Article em En | MEDLINE | ID: mdl-33591316
ABSTRACT
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).
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article