Recon3D enables a three-dimensional view of gene variation in human metabolism
Elizabeth Brunk(University of North Carolina at Chapel Hill), Bernhard Ø. Palsson(University of California San Diego), German Preciat(University of Luxembourg), Swagatika Sahoo(University of Iceland), Nathan Mih(University of San Diego), Anna Dröfn Daníelsdóttir(University of Luxembourg), Maike K. Aurich(University of Luxembourg), Ali Altunkaya(San Diego Supercomputer Center), Anand V. Sastry(University of California San Diego), Andreas Dräger(Luther University), S.K. Burley(Rutgers, The State University of New Jersey), Ronan M. T. Fleming(Ollscoil na Gaillimhe – University of Galway), Daniel C. Zielinski(University of California San Diego), Peter W. Rose(University of Oxford), Avlant Nilsson(Chalmers University of Technology), Almut Heinken(Inserm), Ines Thiele(Ollscoil na Gaillimhe – University of Galway), Andreas Prlić(San Diego Supercomputer Center), Alberto Noronha(University of Luxembourg), Jens Nielsen(BioInnovation Institute), Francesco Gatto(University of San Diego)
Cited by 818
Related Papers
What is flux balance analysis?
|Nature Biotechnology|2010|4.1k
Gut microbiota functions: metabolism of nutrients and other food components
|European Journal of Nutrition|2017|2.8k
Quantitative prediction of cellular metabolism with constraint-based models: the COBRA Toolbox v2.0
|Nature Protocols|2011|1.9k
A protocol for generating a high-quality genome-scale metabolic reconstruction
|Nature Protocols|2010|1.9k
A genome‐scale metabolic reconstruction for Escherichia coli K‐12 MG1655 that accounts for 1260 ORFs and thermodynamic information
|Molecular Systems Biology|2007|1.4k