His primary areas of investigation include Biochemistry, Gene, Metabolism, Arabidopsis and Botany. His works in Protein biosynthesis, Metabolic pathway, Transcriptome, Enzyme and Transcription factor are all subjects of inquiry into Biochemistry. His work on Gene expression profiling, Gene expression and Protein methods as part of general Gene research is often related to Focus, thus linking different fields of science.
His Metabolism research focuses on Photosynthesis and how it relates to Antisense RNA. The various areas that Björn Usadel examines in his Arabidopsis study include Arabidopsis thaliana and Regulator gene. His Botany research is multidisciplinary, incorporating perspectives in Genome and Abscisic acid.
His main research concerns Biochemistry, Gene, Genome, Genetics and Computational biology. Cell wall, Arabidopsis, Metabolism, Photosynthesis and Enzyme are the subjects of his Biochemistry studies. His Arabidopsis research is multidisciplinary, relying on both Arabidopsis thaliana and Cell biology.
His study looks at the relationship between Gene and fields such as Solanum, as well as how they intersect with chemical problems. His research in Genome intersects with topics in Transcriptome, Sequence assembly, Botany and DNA sequencing. The concepts of his Computational biology study are interwoven with issues in Annotation, Bioinformatics, Cluster analysis and Plant science.
Genome, Gene, Computational biology, Biochemistry and DNA sequencing are his primary areas of study. In the field of Genome, his study on Genome evolution overlaps with subjects such as Tropinone reductase II. Gene is the subject of his research, which falls under Genetics.
His Computational biology study combines topics from a wide range of disciplines, such as Plant science, Transcriptome, Gel electrophoresis and Accession number. The study of Biochemistry is intertwined with the study of Mucilage in a number of ways. His DNA sequencing research incorporates elements of genomic DNA and Extraction.
Björn Usadel mainly focuses on Genome, Gene, Data science, Genetics and Chinese tea. His Genome research is multidisciplinary, incorporating elements of Cluster analysis, Threading, Computational biology and Haplotype. As part of his studies on Haplotype, Björn Usadel often connects relevant areas like Plant science.
The subject of his Gene research is within the realm of Biochemistry. The study incorporates disciplines such as Plant phenotyping and Metadata in addition to Data science. His work on Reference genome, Genomics, Domestication and Flavonoid biosynthesis as part of general Genetics study is frequently connected to Tea tree oil, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.
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.
[email protected]: the Golm Metabolome Database
Joachim Kopka;Nicolas Schauer;Stephan Krueger;Claudia Birkemeyer.
RobiNA: a user-friendly, integrated software solution for RNA-Seq-based transcriptomics
Marc Lohse;Anthony M. Bolger;Axel Nagel;Alisdair R. Fernie.
Nucleic Acids Research (2012)
Sugars and Circadian Regulation Make Major Contributions to the Global Regulation of Diurnal Gene Expression in Arabidopsis
Oliver E. Bläsing;Yves Gibon;Manuela Günther;Melanie Höhne.
The Plant Cell (2005)
Extension of the Visualization Tool MapMan to Allow Statistical Analysis of Arrays, Display of Coresponding Genes, and Comparison with Known Responses
Björn Usadel;Axel Nagel;Oliver Thimm;Henning Redestig.
Plant Physiology (2005)
Genome-wide reprogramming of metabolism and regulatory networks of Arabidopsis in response to phosphorus
Rosa Morcuende;Rajendra Bari;Yves Gibon;Wenming Zheng.
Plant Cell and Environment (2007)
A guide to using MapMan to visualize and compare Omics data in plants: a case study in the crop species, Maize
Björn Usadel;Fabien Poree;Axel Nagel;Marc Lohse.
Plant Cell and Environment (2009)
Mercator: a fast and simple web server for genome scale functional annotation of plant sequence data
Marc Lohse;Axel Nagel;Thomas Herter;Patrick May.
Plant Cell and Environment (2014)
Integrated Analysis of Metabolite and Transcript Levels Reveals the Metabolic Shifts That Underlie Tomato Fruit Development and Highlight Regulatory Aspects of Metabolic Network Behavior
Fernando Carrari;Charles Baxter;Björn Usadel;Ewa Urbanczyk-Wochniak.
Plant Physiology (2006)
Quantitation in Mass-Spectrometry-Based Proteomics
Waltraud X Schulze;Björn Usadel.
Annual Review of Plant Biology (2010)
Systems Biology of Tomato Fruit Development: Combined Transcript, Protein, and Metabolite Analysis of Tomato Transcription Factor (nor, rin) and Ethylene Receptor (Nr) Mutants Reveals Novel Regulatory Interactions
Sonia Osorio;Rob Alba;Cynthia M.B. Damasceno;Gloria Lopez-Casado.
Plant Physiology (2011)
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