results of metabolic profiling of Saccharomyces cerevisiae in different conditions
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Created: 16th Oct 2009 at 13:31
Last updated: 16th Apr 2013 at 09:03
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Institutions: School of Computer Science, University of Manchester, HITS gGmbH
I am a Research Fellow at the University of Manchester, working in Bioinformatics and Computer Science. I am also a guest researcher at the Vrije Universiteit.My research interests include scientific workflows, semantic discovery, and applying ontology technologies to biological data
The main objectives of SysMO-DB are to: facilitate the web-based exchange of data between research groups within- and inter- consortia, and to provide an integrated platform for the dissemination of the results of the SysMO projects to the scientific community. We aim to devise a progressive and scalable solution to the data management needs of the SysMO initiative, that:
- maximises the ‘shelf life’ and utility of data generated by SysMO;
- provides an integrated platform for the dissemination ...
Cell growth underlies many key cellular and developmental processes, yet a limited number of studies have been carried out on cell-growth regulation. Comprehensive studies at the transcriptional, proteomic and metabolic levels under defined controlled conditions are currently lacking.
This investigation shows public data taken from the BioInvestigation Index. (http://www.ebi.ac.uk/bioinvindex/study.seam?studyId=BII-S-1) Organism: Saccharomyces Cerevisiae
Submitter: Katy Wolstencroft
Assays: Changes in flux on the metabolome, Changes in flux on the proteome, Changes in flux on the transcriptome, Glycolysis in Saccharomyces cerevisiae, Time course analysis of transcription, Transcriptional profiling, new assay from data file, test assay, test for biol problem
Snapshots: No snapshots
Assay to measure metabolites of yeast saccharomyces cerevisiae under different nutrient limitations
Limiting Nutrients: ethanol, nitrogen, glucose, phosphorus, carbon, sulfur, sulphur
This data is public data taken from the BioInvestigation Index. (http://www.ebi.ac.uk/bioinvindex/study.seam?studyId=BII-S-1)
Submitter: Stuart Owen
Biological problem addressed: Model Analysis Type
Study: 1 hidden item
Organisms: No organisms
SOPs: new sop
Snapshots: No snapshots