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sybil  

Efficient Constrained Based Modelling
View on CRAN: Click here


Download and install sybil package within the R console
Install from CRAN:
install.packages("sybil")

Install from Github:
library("remotes")
install_github("cran/sybil")

Install by package version:
library("remotes")
install_version("sybil", "2.2.0")



Attach the package and use:
library("sybil")
Maintained by
Mayo Roettger
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2012-03-16
Latest Update: 2022-11-20
Description:
This Systems Biology Package Gelius-Dietrich et. al. 2012 doi10.11861752-0509-7-125 implements algorithms for constraint based analyses of metabolic networks e.g. flux-balance analysis FBA minimization of metabolic adjustment MOMA regulatory onoff minimization ROOM robustness analysis and flux variability analysis. The package is easily extendable for additional algorithms. Most of the current LPMILP solvers are supported via additional packages.
How to cite:
Mayo Roettger (2012). sybil: Efficient Constrained Based Modelling. R package version 2.2.0, https://cran.r-project.org/web/packages/sybil. Accessed 20 Feb. 2025.
Previous versions and publish date:
1.0.1 (2012-03-16 16:43), 1.0.2 (2012-04-20 18:07), 1.1.1 (2012-10-08 16:34), 1.1.2 (2012-10-10 12:50), 1.1.7 (2012-11-30 17:57), 1.1.11 (2013-01-18 17:42), 1.1.14 (2013-04-15 14:43), 1.2.0 (2013-05-31 11:49), 1.2.2 (2013-07-18 15:05), 1.2.4 (2013-09-08 22:54), 1.2.5 (2013-11-28 08:19), 1.2.6 (2014-06-04 14:51), 1.3.0 (2015-06-17 17:58), 1.3.2 (2015-11-17 15:25), 2.0.0 (2016-06-06 20:23), 2.0.4 (2017-07-19 18:22), 2.1.1 (2018-05-14 20:41), 2.1.2 (2018-08-15 18:40), 2.1.5 (2019-03-07 15:10), 2.2.0 (2021-05-31 13:50)
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Functions, R codes and Examples using the sybil R package
Full sybil package functions and examples
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