New Results
Predicting growth conditions from internal metabolic fluxes in an in-Silico model of E. Coli
Viswanadham Sridhara, Austin G. Meyer, Piyush Rai, Jeffrey E. Barrick, Pradeep Ravikumar, Daniel Segrè, View ORCID ProfileClaus O. Wilke
doi: https://doi.org/10.1101/002287
Viswanadham Sridhara
1Center for Computational Biology and Bioinformatics, The University of Texas at Austin, Austin, TX, USA
Austin G. Meyer
1Center for Computational Biology and Bioinformatics, The University of Texas at Austin, Austin, TX, USA
2Institute for Cellular and Molecular Biology, The University of Texas at Austin, Austin, TX, USA
Piyush Rai
3Department of Computer Science, The University of Texas at Austin, Austin, TX, USA
Jeffrey E. Barrick
1Center for Computational Biology and Bioinformatics, The University of Texas at Austin, Austin, TX, USA
2Institute for Cellular and Molecular Biology, The University of Texas at Austin, Austin, TX, USA
4Center for Systems and Synthetic Biology, The University of Texas at Austin,, Austin, TX, USA
5Department of Molecular Biosciences, The University of Texas at Austin, Austin, TX, USA
Pradeep Ravikumar
3Department of Computer Science, The University of Texas at Austin, Austin, TX, USA
Daniel Segrè
6Department of Biology and Bioinformatics Program, Boston University, Boston, MA, USA
Claus O. Wilke
1Center for Computational Biology and Bioinformatics, The University of Texas at Austin, Austin, TX, USA
2Institute for Cellular and Molecular Biology, The University of Texas at Austin, Austin, TX, USA
4Center for Systems and Synthetic Biology, The University of Texas at Austin,, Austin, TX, USA
7Department of Integrative Biology, The University of Texas at Austin, Austin, TX, USA
Article usage
Posted October 14, 2014.
Predicting growth conditions from internal metabolic fluxes in an in-Silico model of E. Coli
Viswanadham Sridhara, Austin G. Meyer, Piyush Rai, Jeffrey E. Barrick, Pradeep Ravikumar, Daniel Segrè, Claus O. Wilke
bioRxiv 002287; doi: https://doi.org/10.1101/002287
Subject Area
Subject Areas
- Biochemistry (11730)
- Bioengineering (8743)
- Bioinformatics (29179)
- Biophysics (14964)
- Cancer Biology (12080)
- Cell Biology (17399)
- Clinical Trials (138)
- Developmental Biology (9417)
- Ecology (14174)
- Epidemiology (2067)
- Evolutionary Biology (18294)
- Genetics (12233)
- Genomics (16791)
- Immunology (11858)
- Microbiology (28051)
- Molecular Biology (11575)
- Neuroscience (60919)
- Paleontology (451)
- Pathology (1870)
- Pharmacology and Toxicology (3238)
- Physiology (4955)
- Plant Biology (10422)
- Synthetic Biology (2881)
- Systems Biology (7338)
- Zoology (1650)