Pierre-Yves Bourguignon

Molecular Biology · 2008

A researcher in the Science corpus: 1 paper; trusts 41 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Pierre-Yves Bourguignon trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Bernhard O. Palsson
  2. Jeremy S. Edwards
  3. Prit Pharkya
  4. Steffen Klamt
  5. C. Schilling
  6. Anthony P. Burgard
  7. Jennie L. Reed
  8. Markus W. Covert
  9. Kiran Raosaheb Patil
  10. Scott A. Becker

Who trusts Pierre-Yves Bourguignon overall

  1. Ines Thiele
  2. Bernhard O. Palsson
  3. Matthew A. Oberhardt

Papers from Pierre-Yves Bourguignon's perspective

Ordered by how strongly the researchers Pierre-Yves Bourguignon trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Genome-scale models of microbial cells: evaluating the consequences of constraints (Nature Reviews Microbiology)
  2. Escherichia coli K-12 undergoes adaptive evolution to achieve in silico predicted optimal growth (Nature)
  3. An expanded genome-scale model of Escherichia coli K-12 (iJR904 GSM/GPR) (Genome Biology)
  4. The Escherichia coli MG1655 in silico metabolic genotype: its definition, characteristics, and capabilities. (Proceedings of the National Academy of Sciences of the United States of America)
  5. In silico predictions of Escherichia coli metabolic capabilities are consistent with experimental data (Nature Biotechnology)
  6. Thirteen Years of Building Constraint-Based In Silico Models of Escherichia coli (Journal of Bacteriology)
  7. The effects of alternate optimal solutions in constraint-based genome-scale metabolic models. (Metabolic Engineering)
  8. Towards multidimensional genome annotation (Nature reviews genetics)
  9. Quantitative prediction of cellular metabolism with constraint-based models: the COBRA Toolbox (Nature Protocols)
  10. A general definition of metabolic pathways useful for systematic organization and analysis of complex metabolic networks (Nature Biotechnology)

Their papers