RightField: embedding ontology annotation in spreadsheets.
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BiBTeXMOTIVATION: 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
SEEK ID: https://fairdomhub.org/publications/139
PubMed ID: 21622664
Projects: SysMO DB
Publication type: Journal
Journal: Bioinformatics
Citation: Bioinformatics. 2011 Jul 15;27(14):2021-2. doi: 10.1093/bioinformatics/btr312. Epub 2011 May 26.
Date Published: 15th Jul 2011
Registered Mode: Not specified
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Created: 6th Mar 2012 at 10:05
Last updated: 8th Dec 2022 at 17:26
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Projects: SysMO DB
Institutions: Manchester Centre for Integrative Systems Biology, University of Manchester
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
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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 ...
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Institutions: Heidelberg Institute for Theoretical Studies (HITS gGmbH)
https://orcid.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.
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/0000-0003-2130-0865
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: 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, Computational pathway design for biotechnological applications, SCyCode The Autotrophy-Heterotrophy Switch in Cyanobacteria: Coherent Decision-Making at Multiple Regulatory Layers, Project Coordination, WP 3: Drug release kinetics study, Glucose metabolism in cancer cell lines
Institutions: Manchester Centre for Integrative Systems Biology, University of Manchester, University of Stellenbosch, University of Manchester - Department of Computer Science, Stellenbosch University
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.
SysMO is a European transnational funding and research initiative on "Systems Biology of Microorganisms".
The goal pursued by SysMO was 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 ...
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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:
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Programme: SysMO
Public web page: http://www.sysmo-db.org/
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.
Submitter: Katy Wolstencroft
Assay type: Transcriptomics
Technology type: Microarray
Investigation: Creating data sheet template for 'omics data
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.
Creator: Katy Wolstencroft
Submitter: Katy Wolstencroft
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.
Creator: Katy Wolstencroft
Submitter: Katy Wolstencroft
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Creators: Olga Krebs, Stuart Owen, Katy Wolstencroft
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