tEFMA: computing thermodynamically feasible elementary flux modes in metabolic networks

Matthias P. Gerstl, Christian Jungreuthmayer, Jürgen Zanghellini. tEFMA: computing thermodynamically feasible elementary flux modes in metabolic networks. Bioinformatics, 31(13):2232-2234, 2015. [doi]

@article{GerstlJZ15,
  title = {tEFMA: computing thermodynamically feasible elementary flux modes in metabolic networks},
  author = {Matthias P. Gerstl and Christian Jungreuthmayer and Jürgen Zanghellini},
  year = {2015},
  doi = {10.1093/bioinformatics/btv111},
  url = {http://dx.doi.org/10.1093/bioinformatics/btv111},
  researchr = {https://researchr.org/publication/GerstlJZ15},
  cites = {0},
  citedby = {0},
  journal = {Bioinformatics},
  volume = {31},
  number = {13},
  pages = {2232-2234},
}