Institutions: Universitat Politècnica de Valènciahttps://orcid.org/0000-0003-4144-3521
Jesús Picó is Full Professor of Automatic Control at The Department of Systems Engineering and Control of the Universitat Politècnica de València (UPV). In 2013 he created the Laboratory of Synthetic Biology and Biosystems Control (SB2CLab) of the Institute of Automation and Industrial Informatics (ai2) at the UPV, the first multidisciplinary lab in Spain integrating systems and control engineers, bioinformatics and biotechnologists. His research interests are in the application of systems ...
Projects: COMBINE Multicellular Modelling
Institutions: University of Newcastle-upon-Tynehttps://orcid.org/0000-0002-8361-2795
Interdisciplinary researcher; passionate about findable, accessible, interoperable, and reproducible (FAIR) scientific knowledge.
Expertise: Systems Biology, Mathematical modelling, Biotechnology, Synthetic Biology, Metabolic Engineering, metabolism, Metabolic Networks, SARS-CoV 2, COVID-19, Pathway Curation, Pathway Analysis, Network Analysis
My research interest is in studying cellular and molecular pathways of COVID-19 disease.
Projects: Millar group, PlaSMo model repository, PHYTOCAL: Phytochrome Control of Resource Allocation and Growth in Arabidopsis and in Brassicaceae crops, Light and plant development, Light control of leaf development, Toggle switch, Reduce Complexity (RCO) reconstruction, Model Driven Prime Editing, PULSE 2.0, Plant optogeneticshttps://orcid.org/0000-0002-7975-5013
Team leader "Quantitative Microbial Phenotyping" Institute of Bio- and Geosciences, IBG-1: Biotechnology Forschungszentrum Jülich GmbH 52425 Jülich, Germany
A molecular microbiologist with a passion for Clostridia! Interested in the development of more effective countermeasures (diagnosis, prevention & treatment) against pathogens, specifically Clostridium difficile and Clostridium botulinum as well as the exploitation of the medical and industrial properties of beneficial strains, specifically in cancer therapy and biofuel production
Expertise: Microbiology, Genetics, Molecular Biology, Systems Biology, Anaerobic Microbiology, Clostridial Genetics, Metabolic Engineering, Synthetic Biology, bacterial metabolism, carbon metabolism, Clostridium
I'm an experimentalist 'Pre-doc' (I still have to finish my PhD thesis) and my work on the COSMIC project will focus on setting up a metabolomic analysis method for Clostridium acetobutylicum. In the past I have worked on metabolic engineering of the same organism by disrupting genes to asses their impact on acid and solvent formation. I'm looking forward to joining the COSMIC web-community. It hopefully will all us to stay in touch and update each other on advances in the (computer)lab.
I'm an 'experimentalist' (molecular microbiologist) Postdoc working on regulation and peptide signaling in Clostridium acetobutylicum. I'm also a SysMO-DB PAL (Product Application Liason) for COSMIC, working on data management including standards and integration with SysMO SEEK.
Date Published: 1st Dec 2017
Publication Type: InProceedings
Citation: 2017 Winter Simulation Conference (WSC),pp.884-895,IEEE
Date Published: 13th Jul 2019
Publication Type: Journal
Citation: Journal of Integrative Bioinformatics 16(2)
Date Published: 12th Feb 2017
Publication Type: Not specified
PubMed ID: 28187405
Citation: J Integr Bioinform. 2016 Dec 18;13(3):289. doi: 10.2390/biecoll-jib-2016-289.
Lecture 2: Being Reproducible: Models, Research Objects and R* Brouhaha Reproducibility is a R* minefield, depending on whether you are testing for robustness (rerun), defence (repeat), certification (replicate), comparison (reproduce) or transferring between researchers (reuse). Different forms of "R" make different demands on the completeness, depth and portability of research. Sharing is another minefield raising concerns of credit and protection from sharp practices. In practice the exchange, ...
Creator: Carole Goble
Submitter: Carole Goble
Presented at Digital Life 2018, Bergen, March 2018. In the Trust and Accountability session. In recent years we have seen a change in expectations for the management and availability of all the outcomes of research (models, data, SOPs, software etc) and for greater transparency and reproduciblity in the method of research. The “FAIR” (Findable, Accessible, Interoperable, Reusable) Guiding Principles for stewardship  have proved to be an effective rallying-cry for community groups and for policy ...
Creator: Carole Goble
Submitter: Carole Goble