sybil
is a collection of functions designed for
in silico analysis of metabolic networks.readTSVmod
. This function returns
an object of the class modelorg
. the beginning (or reading a csv file):
ec <- readTSVmod(reactList = "Ec_core.csv")
find double reactions:
ec_d <- doubleReact(ec)
remove reactions one and five:
ec_r <- rmReact(ec, c(1, 5))
convert to irreversible model:
ec_ir <- mod2irrev(ec)
perform FBA:
ec_f <- simpleFBA(ec)
perform single gene deletion analysis:
ec_o <- oneGeneDel(ec)
Schellenberger, J., Park, J. O., Conrad, T. C., and Palsson, B. Ø., (2010) BiGG: a Biochemical Genetic and Genomic knowledgebase of large scale metabolic reconstructions. BMC Bioinformatics 11, 213.
Becker, S. A., Feist, A. M., Mo, M. L., Hannum, G., Palsson, B. Ø. and Herrgard, M. J. (2007) Quantitative prediction of cellular metabolism with constraint-based models: the COBRA Toolbox. Nat Protoc 2, 727--738.
Schellenberger, J., Que, R., Fleming, R. M. T., Thiele, I., Orth, J. D., Feist, A. M., Zielinski, D. C., Bordbar, A., Lewis, N. E., Rahmanian, S., Kang, J., Hyduke, D. R. and Palsson, B. Ø. (2011) Quantitative prediction of cellular metabolism with constraint-based models: the COBRA Toolbox v2.0. Nat Protoc 6, 1290--1307.
sybilSBML
(readSBMLmod
).data(Ec_core)
Ec_ofd <- oneFluxDel(Ec_core)
hist(lp_obj(Ec_ofd))
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