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Sysrecon: Systematical Metabolic Reconstruction

In the past decade, genome-scale metabolic reconstructions have widely been used to comprehend the systems biology of metabolic pathways within an organism. Different GSMs are constructed using various techniques that require distinct steps, but the input data, information conversion and software tools are neither concisely defined nor mathematically or programmatically formulated in a context-specific manner.The tool that quantitatively and qualitatively specifies each reconstruction steps and can generate a template list of reconstruction steps dynamically selected from a reconstruction step reservoir, constructed based on all available published papers.

Version: 0.1.3
Depends: R (≥ 3.5.0)
Imports: ape, dplyr, ggplot2, ggtree, magrittr, methods, patchwork, plyr, RColorBrewer, rlang, SnowballC, stats, stringr, tm, utils
Published: 2023-02-20
DOI: 10.32614/CRAN.package.Sysrecon
Author: Shilin Ouyang [aut, cre], Zihao Li [aut], Jiamin Hu [aut], Miyuan Cao [aut], Feng Yu [aut], Longfei Mao [aut], RStudio [cph, fnd]
Maintainer: Shilin Ouyang <ouyangshilin at hnu.edu.cn>
License: GPL-3
URL: https://oyshilin.github.io/sysrecon/
NeedsCompilation: no
Materials: README
CRAN checks: Sysrecon results

Documentation:

Reference manual: Sysrecon.pdf

Downloads:

Package source: Sysrecon_0.1.3.tar.gz
Windows binaries: r-devel: Sysrecon_0.1.3.zip, r-release: Sysrecon_0.1.3.zip, r-oldrel: Sysrecon_0.1.3.zip
macOS binaries: r-release (arm64): Sysrecon_0.1.3.tgz, r-oldrel (arm64): Sysrecon_0.1.3.tgz, r-release (x86_64): Sysrecon_0.1.3.tgz, r-oldrel (x86_64): Sysrecon_0.1.3.tgz
Old sources: Sysrecon archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.