Keywords: Extras or Ontologies
Cohort studies, which recruit groups of individuals who share common characteristics and follow them over a period of time, are a robust and essential method in biomedical research for understanding the links between risk factors and diseases. Through questionnaires, medical assessments, and...
This video explains why we need data standardization and how to annotate data using next generation biobanking ontology (NGBO).
This video is part of the CINECA online training series, where you can learn about concepts and tools relevant to federated analysis of cohort data.
This video describes how public health genomics has played a key role in international responses to the COVID-19 pandemic, and how data standards are being used to harmonize data across jurisdictions for Canadian COVID-19 surveillance and outbreak investigations.
The video is aimed at anyone...
This video describes a community of practice for interoperable ontology building called the OBO Foundry, and highlights a number of well curated and maintained ontologies that are useful for annotating cohort data.
The video is aimed at anyone interested in data standardization and/or the...
This video highlights examples of tools and ontologies which can be used for annotating health data, and how ontologies help to support data ecosystems.
Ontologies are collections of well-defined, hierarchical, controlled vocabulary, linked by logical relationships. This video introduces the concept and benefits of implementing ontologies for solving data integration issues when data is generated by different research groups.
This video explains how the Zooma annotation tool, the OxO mapping service and the Ontology Lookup Service (OLS) can be used to harmonise and enrich biological and biomedical data.
The EMBL-EBI Ontology Tools can be used by both biological curators and software developers. Biological curators...
Metadata, standards and ontologies are common ways of providing data with context, structure and meaning. In this webinar Sira explores the idea of once data are ontologised (mapped to standard structured vocabulary), they become linkable to build a bigger infrastructure of knowledge network and...
If you work in the life sciences, you may find that you’re spending less time doing experiments and more time analysing huge amounts of biological data. Train online is here to help you do this quickly and efficiently.
Working Remotely from https://github.com/swcarpentry/bc/tree/gh-pages/novice/extras/07-ssh.md.
Shell Variables from https://github.com/swcarpentry/bc/tree/gh-pages/novice/extras/06-shellvar.md.
Forking a Repository from https://github.com/swcarpentry/bc/tree/gh-pages/novice/extras/02-forking.md.
Branching in Git from https://github.com/swcarpentry/bc/tree/gh-pages/novice/extras/01-branching.md.
Manual Pages from https://github.com/swcarpentry/bc/tree/gh-pages/novice/extras/04-man.md.
Why I Teach from https://github.com/swcarpentry/bc/tree/gh-pages/novice/extras/10-why.md.
IMPC: Using the mouse phenotyping portal from http://www.ebi.ac.uk/training/online/course/impc-using-mouse-phenotyping-portal.
diXa data warehouse: Exploring data from toxicogenomics studies from http://www.ebi.ac.uk/training/online/course/dixa-data-warehouse-exploring-data-toxicogenomics.
Complex Portal: webinar from http://www.ebi.ac.uk/training/online/course/complex-portal-webinar.
Complex Portal: Quick tour from http://www.ebi.ac.uk/training/online/course/complex-portal-quick-tour.
Cellular Microscopy Phenotype Ontology (CMPO): Quick tour from http://www.ebi.ac.uk/training/online/course/cellular-microscopy-phenotype-ontology-cmpo-quick.
BioSamples: Quick tour from http://www.ebi.ac.uk/training/online/course/biosamples-quick-tour.
BioSamples Database RDF: webinar from http://www.ebi.ac.uk/training/online/course/biosamples-database-rdf-webinar.