Projects: SysMO DB, FAIRDOM, ICYSB 2015 - International Practical Course in Systems Biology, GenoSysFat, DigiSal, FAIRDOM user meeting, FAIRDOM Community Workers
Institutions: University of Manchester - Department of Computer Science, Manchester Centre for Integrative Systems Biology, University of Manchester
https://orcid.org/0000-0003-2130-0865Expertise: Software Engineering, Data Management, Software Architecture, REST, Cloud computing, Agile development, Docker
Tools: Databases, Java, Workflows, Web services, Taverna, Ruby, Ruby on Rails, linux, J2EE, semantic web, AWS, Research Objects, Docker
Senior Research Software Engineer and Architect working at the University of Manchester within the FAIRDOM team.
Leads the development of FAIRDOM SEEK and RightField.
Projects: GMDS Project Group "FAIRe Dateninfrastrukturen für die Biomedizinische Informatik"
Institutions: University Medical Center Göttingen
https://orcid.org/0000-0002-6307-3253Expertise: Data Management, Databases, Health Informatics, Data Integration
Tools: R, Docker, linux, Data Management
Researcher at the University Medical Center Göttingen, Department of Medical Informatics
The dataset presents mathematical models of the gene regulatory network of the circadian clock, in the plant Arabidopsis thaliana. The work will be published as Urquiza-Garcia, Molina, Halliday and Millar, title "Abundant clock proteins point to missing molecular regulation in the plant circadian clock", in Molecular Systems Biology, 2025.
Starting from the U2019.3 and U2020.3 models, this project rescales parameters to match protein levels that were predicted using a simple model from the TiMet ...
Submitter: Andrew Millar
Studies: Construction of NanoLUC-tagged plants, Estimating DNA-binding affinities for Arabidopsis proteins, Measuring absolute levels of clock proteins with calibrated NanoLUC assays, Predicting absolute levels of clock proteins with a simple model, Recalibrating the clock models for absolute protein levels, to create mo..., Reproducibility documentation
Assays: Clock protein number determination with NanoLUC calibration, Clock proteins NanoLUC fusion raw data, Gatway maps of genomic regions of clock genes, In vivo bioluminescence of clock protein-NanoLUC fusions: example experi..., Jupyter notebook Predicting Protein Numbers, Propagating scaling factors into model parameters for U2019.4->U2019.5 a..., Protein level time series, Python packages, Reproducibility tool set, Selection of complemented transgenic lines, TiMet RNA timeseries data, promoter binding affinity calculations on the genome based on PBMs and E...
Snapshots: Snapshot 1
This section contains the links to the tools used for reproducing the computational results presented in U2019. This is required because SloppyCell is under the risk of becoming rotting code. Using Docker we can assure some persistence for the computational environment that allows to run SloppyCell.
The associated git repository can be found in https://github.com/jurquiza/Urquiza2019a.git which can be cloned.
The docker image can either be pulled from the docker hub site
docker pull ...
Submitter: Uriel Urquiza Garcia
Biological problem addressed: Model Analysis Type
Investigation: Absolute units in Arabidopsis clock models up t...
Organisms: No organisms
Models: No Models
SOPs: No SOPs
Data files: No Data files
Snapshots: No snapshots