Investigations
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Collection of models submitted to PLaSMo by Chris Davey and automatically transferred to FAIRDOM Hub.
Submitter: BioData SynthSys
Studies: AFRC Wheat 2 evapw submodel - PLM_33, AFRC Wheat 2 jdaydif submodel - PLM_34, AFRC Wheat 2 julday submodel - PLM_35, AFRC Wheat 2 ldim submodel - PLM_36, AFRC Wheat 2 photpd submodel - PLM_37, AFRC Wheat 2 tdays submodel - PLM_38, AFRC Wheat 2 vappres submodel - PLM_39, AFRC Wheat 2 vernal submodel - PLM_40, AFRC Wheat 2 weathr submodel - PLM_41, AFRC Wheat2 dev submodel - PLM_32, AFRCtest2 - PLM_25, Arabidopsis leaf carbohydrate model (Rasse and Tocquin) - PLM_2, C3 photosynthesis (Farquhar, von Caemmerer, Berry) model - PLM_1, Miscanmod - PLM_3
Assays: AFRC Wheat 2 evapw submodel - PLM_33, version 1, AFRC Wheat 2 jdaydif submodel - PLM_34, version 1, AFRC Wheat 2 julday submodel - PLM_35, version 1, AFRC Wheat 2 ldim submodel - PLM_36, version 1, AFRC Wheat 2 photpd submodel - PLM_37, version 1, AFRC Wheat 2 tdays submodel - PLM_38, version 1, AFRC Wheat 2 vappres submodel - PLM_39, version 1, AFRC Wheat 2 vernal submodel - PLM_40, version 1, AFRC Wheat 2 weathr submodel - PLM_41, version 1, AFRC Wheat2 dev submodel - PLM_32, version 1, AFRCtest2 - PLM_25, version 1, Arabidopsis leaf carbohydrate model (Rasse and Tocquin) - PLM_2, version 1, C3 photosynthesis (Farquhar, von Caemmerer, Berry) model - PLM_1, version 1, Miscanmod - PLM_3, version 1
This is a collection of deep eutectic solvent (DES) experimental and simulation data that is stored in CML format and analysed using gradient boosting decision trees.
Publication data made available for Biotechnology Reports, supplementary data
Submitter: Antoine Buetti-Dinh
Studies: Deep Neural Networks Outperform Human Expert’s Capacity in Characterizin...
Assays: No Assays
Supplementary files for the publication: Deep Neural Networks Outperform Human Expert’s Capacity in Characterizing Bioleaching Bacterial Biofilm Composition
Gene co-epxression network analyses are common in the study of large scale biological data sets. In this study, we have developed a methodology for the comparison of pairs of co-expression networks using the s-core network peeling approach. We apply the methodology to gene-expression data for human and mouse.
Aims: The immune response is important for mediating the benefit of cardiac cell therapies. The role of varied immune responses in influencing the outcome of cardiomyocyte cell transplantation after myocardial infarction was investigated. Methods and Results: Cardiac flow cytometric analysis of C57BL/6J and T- and B cell deficient Rag2del mice revealed varied CD11b, natural killer and dendritic cell responses following sham injection and a disparate macrophage response after myocardial infarction. ...
Submitter: Markus Wolfien
Studies: Single nuclei data analysis
Aim. Constructing a predictive, dynamic model of the redox metabolism of trypanosomes. Aided by this model we will quantify the impact of gene-expression and metabolic regulation on redox metabolism. The model will be constructed in an iterative cycle of experimentation – modelling – analysis – experimentation, such that it can be extended and refined based on new experimental insights.
Submitter: Jurgen Haanstra
Studies: Iterative cycles of model improvement and extension., Modelling of gene expression and Regulation Analysis., Modelling of redox metabolism.
Assays: No Assays
Changing the oxygen availability leads to an adaptation of Escherichia coli at different biological levels. After pertubation of oxygen in chemostat experiments there are very quick responses. This investigation deals with this dynamical behaviour (transitions) of Escherichia coli within the aerobiosis scale. The change for different biological variables, in different areas of the organism like the electron transport chain, the TCA cycle or globally is investigated by wildtype and mutants experiments ...