2023 - Research.com Genetics in United States Leader Award
2022 - Research.com Best Scientist Award
2012 - Promega Biotechnology Research Award, American Society for Microbiology
2010 - Fellow of the American Association for the Advancement of Science (AAAS)
2006 - Member of the National Academy of Engineering For scholarship, technological advances, and entrepreneurial activities in metabolic engineering.
1996 - Fellow of the Indian National Academy of Engineering (INAE)
His scientific interests lie mostly in Genetics, Computational biology, Metabolic network, In silico and Gene. His studies in Genome, Escherichia coli, Phenotype, Organism and Regulation of gene expression are all subfields of Genetics research. His biological study focuses on Systems biology.
His work is dedicated to discovering how Systems biology, Biological network are connected with Theoretical computer science and other disciplines. The various areas that Bernhard O. Palsson examines in his Metabolic network study include Biomass, Metabolic network modelling, Identification and Metabolism. His studies in Metabolic network modelling integrate themes in fields like Flux balance analysis, Fluxomics and Constraint.
Computational biology, Gene, Genetics, Systems biology and Genome are his primary areas of study. His study of Metabolic network is a part of Computational biology. His Metabolic network research integrates issues from Flux, Flux balance analysis, Metabolic network modelling and Metabolism.
Bernhard O. Palsson does research in Genetics, focusing on Gene expression profiling specifically. His Systems biology study results in a more complete grasp of Bioinformatics. His specific area of interest is Genome, where Bernhard O. Palsson studies Genomics.
Bernhard O. Palsson mainly investigates Computational biology, Gene, Genome, Escherichia coli and Gene expression. His Computational biology research is multidisciplinary, incorporating perspectives in Proteome, Transcriptome, Function, Genome scale and Streptomyces. His research in Proteome intersects with topics in Biological system and Systems biology.
Gene is a primary field of his research addressed under Genetics. He has included themes like Synthetic biology, In silico, Secondary metabolite and DNA sequencing in his Genome study. His work in Gene expression addresses issues such as Metabolism, which are connected to fields such as Amino acid, Metabolic network and Enzyme.
Bernhard O. Palsson spends much of his time researching Computational biology, Gene, Genome, Systems biology and Genome scale. His Computational biology study integrates concerns from other disciplines, such as Metabolic Model, Proteomics, Enzyme kinetics, Gene knockout and In vivo. His studies examine the connections between Gene and genetics, as well as such issues in Function, with regards to Transcription factor, CCPA, Virulence and Staphylococcus aureus.
His research integrates issues of Phenotype, Synthetic biology, In silico, Workflow and Streptomyces in his study of Genome. His Systems biology research includes themes of Proteome, Biological system, Substrate, Interoperability and Software. His study on Escherichia coli is covered under Genetics.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
What is flux balance analysis
Jeffrey D Orth;Ines Thiele;Bernhard Ø Palsson.
Nature Biotechnology (2010)
Sharing and community curation of mass spectrometry data with Global Natural Products Social Molecular Networking
Mingxun Wang;Jeremy J Carver;Vanessa V Phelan;Laura M Sanchez.
Nature Biotechnology (2016)
Quantitative prediction of cellular metabolism with constraint-based models: the COBRA Toolbox v2.0
Jan Schellenberger;Richard Que;Ronan M T Fleming;Ines Thiele.
Nature Protocols (2007)
A protocol for generating a high-quality genome-scale metabolic reconstruction.
Ines Thiele;Ines Thiele;Bernhard Ø Palsson.
Nature Protocols (2010)
A genome-scale metabolic reconstruction for Escherichia coli K-12 MG1655 that accounts for 1260 ORFs and thermodynamic information.
Adam M Feist;Christopher S Henry;Jennifer L Reed;Markus Krummenacker.
Molecular Systems Biology (2007)
Global reconstruction of the human metabolic network based on genomic and bibliomic data
Natalie C. Duarte;Scott A. Becker;Neema Jamshidi;Ines Thiele.
Proceedings of the National Academy of Sciences of the United States of America (2007)
Genome-Scale Reconstruction of the Saccharomyces cerevisiae Metabolic Network
Jochen Förster;Iman Famili;Patrick Fu;Bernhard Ø. Palsson.
Genome Research (2003)
An expanded genome-scale model of Escherichia coli K-12 (iJR904 GSM/GPR)
Jennifer L Reed;Thuy D Vo;Christophe H Schilling;Bernhard O Palsson.
Genome Biology (2003)
In silico predictions of Escherichia coli metabolic capabilities are consistent with experimental data
Jeremy S. Edwards;Jeremy S. Edwards;Rafael U. Ibarra;Bernhard O. Palsson.
Nature Biotechnology (2001)
Stoichiometric flux balance models quantitatively predict growth and metabolic by-product secretion in wild-type Escherichia coli W3110.
Amit Varma;B. O. Palsson.
Applied and Environmental Microbiology (1994)
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