MOTIVATION: In the Life Sciences, guidelines, checklists and ontologies describing what metadata is required for the interpretation and reuse of experimental data are emerging. Data producers, however, may have little experience in the use of such standards and require tools to support this form of data annotation. RESULTS: RightField is an open source application that provides a mechanism for embedding ontology annotation support for Life Science data in Excel spreadsheets. Individual cells, columns or rows can be restricted to particular ranges of allowed classes or instances from chosen ontologies. The RightField-enabled spreadsheet presents selected ontology terms to the users as a simple drop-down list, enabling scientists to consistently annotate their data. The result is 'semantic annotation by stealth', with an annotation process that is less error-prone, more efficient, and more consistent with community standards. Availability and implementation: RightField is open source under a BSD license and freely available from http://www.rightfield.org.uk
PubMed ID: 21622664
Projects: SysMO DB
Date Published: 26th May 2011
Created: 6th Mar 2012 at 11:05
Software Engineer and Architect working within the FAIRDOM team.
Leading the development of SEEK and RightField.
Projects: SysMO DB, FAIRDOM, ICYSB 2015 - International Practical Course in Systems Biology, ZucAt, SysMO-LAB, Kinetics on the move - Workshop 2016, Example use cases, FAIRDOM user meeting, ErasysApp Funders, EraCoBiotech 2 nd call proposal preparation, Service to URV Tarragona, Spain with respect to their Safety Assessment of Endocrine Disrupting Chemicals model (Active NOW), FAIRDOM & LiSyM & de.NBI Data Structuring Training, MESI-STRAT, INCOME, Multiscale modelling of state transitions in the host-microbiome-brain network, BESTER, Project/Kublanov, TRALAMINOL, Sustainable co-production, INDIE - Biotechnological production of sustainable indoleorcid.org/0000-0003-3540-0402
I am a researcher at the Scientific Databases and Visualization Group at Heidelberg Institute for Theoretical Studies (HITS) , one of the developers of SabioRK - System for the Analysis of Biochemical Pathways - Reaction Kinetics (http://sabiork.h-its.org/) . I am working on design and maintenance of the information systems to store, query and analyse systems biology data; definition and implementation of methods for the integration of data from multiple sources. In SySMO-DB project
Projects: SysMO DB, FAIRDOM, ICYSB 2015 - International Practical Course in Systems Biology, de.NBI-SysBio, Regeneration and Repair in Acute-on-Chronic Liver Failure (LiSyM-ACLF - Pillar III), Early Metabolic Injury (LiSyM-EMI - Pillar I), Chronic Liver Disease Progression (LiSyM-DP - Pillar II), LiSyM Core Infrastructure and Management (LiSyM-PD), Liver Function Diagnostics (LiSyM-LiFuDi - Pillar IV), Molecular Steatosis - Imaging & Modeling (LiSyM-MSIM), Multi-Scale Models for Personalized Liver Function Tests (LiSyM-MM-PLF), Model Guided Pharmacotherapy In Chronic Liver Disease (LiSyM-MGP), The Hedgehog Signalling Pathway (LiSyM-JGMMS), Kinetics on the move - Workshop 2016, Example use cases, SBEpo - Systems Biology of Erythropoietin, FAIRDOM & LiSyM & de.NBI Data Structuring Training, MESI-STRAT, INCOMEorcid.org/0000-0002-4980-3512
I am group leader of the SDBV (Scientific Databases and Visualisation) group at the HITS gGmbH, the Heidelberg Institute for Theoretical Studies.
I am interested in finding data. Starting with my master's thesis I have always worked on how to store data in a way that you can find it, and how to make sense out of data that has been stored.
Within FAIRDOM I find interesting to help people to store their data in a way that they make sense even after years.
Institutions: University of Leidenorcid.org/0000-0002-1279-5133
I am an Assistant Professor at Leiden University in the Leiden Institute of Advanced Computer Science. I am a bioinformatician and my research interests are in data integration. I use scientific workflows and semantic web technologies to integrate and analyse data in systems biology and functional genomics.
Projects: PSYSMO, MOSES, SysMO DB, SysMO-LAB, SulfoSys, SulfoSys - Biotec, Whole body modelling of glucose metabolism in malaria patients, FAIRDOM, Molecular Systems Biology, COMBINE Multicellular Modelling, HOTSOLUTE, Steroid biosynthesis, Yeast glycolytic oscillations
Disciplines: Not specified
Roles: Not specified
Expertise: Not specified
Tools: Not specified
Professor of Computer Science University of Manchester
Co-Director of the FAIRDOM Initiative and co-leader of the SEEK4Science Platform Development
Deputy Head of Node ELIXIR-UK
Co-lead ELIXIR Interoperability Backbone Platform
Lead ISBE WP Data and Model Management
Data lead SynBioChem Manchester Synthetic Biology Research Centre for Fine and Speciality Chemicals
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
Some examples of transcriptomics templates for Affymetrix data that conform to the MAGE-TAB specification. These templates were taken from the GEO website (http://www.ncbi.nlm.nih.gov/geo/info/spreadsheet.html) and modified to conform to the SysMO-JERM (Just enough Results Model) for transcriptomics.
Using these templates will mean easier submission to GEO/ArrayExpress and greater consistency of data in SEEK.
Contributor: Katy Wolstencroft
Assay type: Transcriptomics
Technology type: Microarray
Snapshots: No snapshots
Investigation: Creating data sheet template for 'omics data
Organisms: No organisms
This Excel template is for use with affy transcriptomics data in Matrix table format. It was created from a template on the GEO web site (http://www.ncbi.nlm.nih.gov/geo/info/geo_affy.html) and modified to conform to the SysMO JERM for transcriptomics.
This Excel template is for use with affy Chip-chip data where the results of the primary analysis are reported in BAR and BED files. It was created from a template on the GEO web site (http://www.ncbi.nlm.nih.gov/geo/info/geo_affy.html) and modified to conform to the SysMO JERM for transcriptomics.