Large-scale computation of elementary flux modes with bit pattern trees

By Marco Terzer, Jörg Stelling. Bioinform., 2008

339 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computational Theory and Mathematics

View Paper: https://www.semanticscholar.org/paper/0a721d9cd3f9d6b9e95dd56369569f81792d5285

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Allan E. Konopka
2. William R. Cannon
3. Alexander S. Beliaev
4. Hyun‐Seob Song

In Computational Theory and Mathematics

1. Jens Nielsen
2. Kiran Raosaheb Patil
3. Isabel Rocha

Citations in the corpus

• Genome-scale models of bacterial metabolism: reconstruction and applications (2008, background): “The computation of all routes is currently only tractable for medium-size models, although significant progresses have been made recently (Terzer & Stelling, 2008).”
• Mathematical Modeling of Microbial Community Dynamics: A Methodological Review (2014, background): “Recent advances in numerical implementations [35,36] led to the computation of up to millions of EMs.”
• OptFlux: an open-source software platform for in silico metabolic engineering (2010, methodology): “Optflux also allows state-of-the-art EFM calculation provided by the EFMTool [33] that implements one of the most efficient algorithms available.”