What is he best known for?
The fields of study he is best known for:
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.
His most cited work include:
- What is flux balance analysis (2214 citations)
- Quantitative prediction of cellular metabolism with constraint-based models: the COBRA Toolbox v2.0 (1589 citations)
- A genome-scale metabolic reconstruction for Escherichia coli K-12 MG1655 that accounts for 1260 ORFs and thermodynamic information. (1227 citations)
What are the main themes of his work throughout his whole career to date?
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.
He most often published in these fields:
- Computational biology (43.17%)
- Gene (26.50%)
- Genetics (22.77%)
What were the highlights of his more recent work (between 2018-2021)?
- Computational biology (43.17%)
- Gene (26.50%)
- Genome (22.15%)
In recent papers he was focusing on the following fields of study:
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.
Between 2018 and 2021, his most popular works were:
- Creation and analysis of biochemical constraint-based models using the COBRA Toolbox v.3.0 (297 citations)
- Creation and analysis of biochemical constraint-based models using the COBRA Toolbox v.3.0 (297 citations)
- A White-Box Machine Learning Approach for Revealing Antibiotic Mechanisms of Action (72 citations)
In his most recent research, the most cited papers focused on:
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.
