This package is for version 3.13 of Bioconductor; for the stable, up-to-date release version, see sangeranalyseR.
Bioconductor version: 3.13
This package builds on sangerseqR to allow users to create contigs from collections of Sanger sequencing reads. It provides a wide range of options for a number of commonly-performed actions including read trimming, detecting secondary peaks, and detecting indels using a reference sequence. All parameters can be adjusted interactively either in R or in the associated Shiny applications. There is extensive online documentation, and the package can outputs detailed HTML reports, including chromatograms.
Author: Rob Lanfear <rob.lanfear at gmail.com>, Kuan-Hao Chao <ntueeb05howard at gmail.com>
Maintainer: Kuan-Hao Chao <ntueeb05howard at gmail.com>
Citation (from within R,
enter citation("sangeranalyseR")
):
To install this package, start R (version "4.1") and enter:
if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("sangeranalyseR")
For older versions of R, please refer to the appropriate Bioconductor release.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("sangeranalyseR")
HTML | R Script | sangeranalyseR |
Reference Manual | ||
Text | NEWS | |
Text | LICENSE |
biocViews | Alignment, GUI, Genetics, Preprocessing, QualityControl, SangerSeq, Sequencing, Software, Visualization |
Version | 1.2.0 |
In Bioconductor since | BioC 3.12 (R-4.0) (1 year) |
License | GPL-2 |
Depends | R (>= 4.0.0), stringr, ape, Biostrings, DECIPHER, parallel, reshape2, phangorn, sangerseqR, gridExtra, shiny, shinydashboard, shinyjs, data.table, plotly, DT, zeallot, excelR, shinycssloaders, ggdendro, shinyWidgets, openxlsx, tools, rmarkdown, kableExtra, seqinr, BiocStyle, logger |
Imports | |
LinkingTo | |
Suggests | knitr, testthat (>= 2.1.0) |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | |
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Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | sangeranalyseR_1.2.0.tar.gz |
Windows Binary | sangeranalyseR_1.2.0.zip (32- & 64-bit) |
macOS 10.13 (High Sierra) | sangeranalyseR_1.2.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/sangeranalyseR |
Source Repository (Developer Access) | git clone [email protected]:packages/sangeranalyseR |
Package Short Url | https://bioconductor.org/packages/sangeranalyseR/ |
Package Downloads Report | Download Stats |
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