This Investigation was performed by SySMO DB team together with PALS in order to crete methods and best practices for capturing experimental data.
SEEK ID: https://demo.fairdomhub.org/investigations/1
Projects: SysMO DB
Investigation position:
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Created: 10th Jun 2009 at 17:09
Last updated: 4th Nov 2011 at 10:06
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Expertise: Biochemistry, Bioinformatics, Data Management
Tools: Data Management, Transcriptomics, Databases, Workflows, Web services, Taverna, Ontologies
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
SysMO is a European transnational funding and research initiative on "Systems Biology of Microorganisms".
The goal pursued by SysMO is to record and describe the dynamic molecular processes going on in unicellular microorganisms in a comprehensive way and to present these processes in the form of computerized mathematical models.
Systems biology will raise biomedical and biotechnological research to a new quality level and contribute markedly to progress in understanding. Pooling European research ...
Projects: BaCell-SysMO, COSMIC, SUMO, KOSMOBAC, SysMO-LAB, PSYSMO, SCaRAB, MOSES, TRANSLUCENT, STREAM, SulfoSys, SysMO DB
Web page: http://sysmo.net/
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:
- facilitates and maximises the potential for data exchange between SysMO research groups;
- maximises the ‘shelf life’ and ...
Programme: SysMO
Public web page: http://www.sysmo-db.org/
Organisms: Saccharomyces cerevisiae, Lactic Acid Bacteria
Assay for transcriptional profiling time course in yeast
Submitter: Guest
Assay type: Transcriptomics
Technology type: Microarray
Investigation: Methods for interrelating 'omics data
Study: 1 hidden item
Organisms: No organisms
SOPs: No SOPs
Data files: 2 hidden items
Snapshots: No snapshots
Sharing well-annotated research data helps the systems biology process.
This practical is about how to easily structure your experimental data such that it becomes well annotated, standard compliant, reproducible, and re-usable (also for others). While much big data travels from machine to machine without human intervention, we will focus on exchange of small data describing experiments which is (to our experience) mostly handled via MS Excel and similar tools. First we give an outline talk about ...
Submitter: Olga Krebs
Assay type: Experimental Assay Type
Technology type: Technology Type
Investigation: Methods for interrelating 'omics data
Study: 1 hidden item
Organisms: No organisms
SOPs: 1 hidden item
Data files: OR example file: metabolomics and 14 hidden items
Snapshots: No snapshots
File to use as an example for OpenRefine computer paractical
Creator: Olga Krebs
Submitter: Olga Krebs
Investigations: Methods for interrelating 'omics data
Studies: 1 hidden item