Ana Paula Oliveira

Summary

Affiliation: Technical University of Denmark
Country: Denmark

Publications

  1. pmc Modeling Lactococcus lactis using a genome-scale flux model
    Ana Paula Oliveira
    Fluxome Sciences A S, Søltofts Plads, Building 223, DK 2800 Kgs Lyngby, Denmark
    BMC Microbiol 5:39. 2005
  2. pmc Architecture of transcriptional regulatory circuits is knitted over the topology of bio-molecular interaction networks
    Ana Paula Oliveira
    Center for Microbial Biotechnology, Department of Systems Biology, Technical University of Denmark, Building 223, DK 2800 Kgs, Lyngby, Denmark
    BMC Syst Biol 2:17. 2008
  3. pmc Metabolic network driven analysis of genome-wide transcription data from Aspergillus nidulans
    Helga David
    Fluxome Sciences A S, Diplomvej, DK 2800 Kgs, Lyngby, Denmark
    Genome Biol 7:R108. 2006

Detail Information

Publications3

  1. pmc Modeling Lactococcus lactis using a genome-scale flux model
    Ana Paula Oliveira
    Fluxome Sciences A S, Søltofts Plads, Building 223, DK 2800 Kgs Lyngby, Denmark
    BMC Microbiol 5:39. 2005
    ..Flux balance analysis (FBA) and minimization of metabolic adjustment (MOMA) were used as modeling frameworks...
  2. pmc Architecture of transcriptional regulatory circuits is knitted over the topology of bio-molecular interaction networks
    Ana Paula Oliveira
    Center for Microbial Biotechnology, Department of Systems Biology, Technical University of Denmark, Building 223, DK 2800 Kgs, Lyngby, Denmark
    BMC Syst Biol 2:17. 2008
    ..Such approaches systematically integrate the existing biological knowledge with the 'omics' data...
  3. pmc Metabolic network driven analysis of genome-wide transcription data from Aspergillus nidulans
    Helga David
    Fluxome Sciences A S, Diplomvej, DK 2800 Kgs, Lyngby, Denmark
    Genome Biol 7:R108. 2006
    ..CONCLUSION: Our analysis indicates that some of the genes are regulated by common transcription factors, making it possible to establish new putative links between known transcription factors and genes through clustering...