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The FAIR Guiding Principles for scientific data management and stewardship
TLDR
This Comment is the first formal publication of the FAIR Principles, and includes the rationale behind them, and some exemplar implementations in the community.
Taverna: a tool for building and running workflows of services
TLDR
Taverna is an application that eases the use and integration of the growing number of molecular biology tools and databases available on the web, especially web services, to perform a range of different analyses, such as sequence analysis and genome annotation.
Investigating Semantic Similarity Measures Across the Gene Ontology: The Relationship Between Sequence and Annotation
TLDR
This paper investigates the use of ontological annotation to measure the similarities in knowledge content or 'semantic similarity' between entries in a data resource and shows a simple extension that enables a semantic search of the knowledge held within sequence databases.
Taverna: lessons in creating a workflow environment for the life sciences
Life sciences research is based on individuals, often with diverse skills, assembled into research groups. These groups use their specialist expertise to address scientific problems. The in silico
The Taverna workflow suite: designing and executing workflows of Web Services on the desktop, web or in the cloud
TLDR
An update to the taverna tool suite is provided, highlighting new features and developments in the workbench and the Taverna Server.
OilEd: a Reason-able Ontology Editor for the Semantic Web
TLDR
OilEd is an ontology editor that has an easy to use frame interface, yet at the same time allows users to exploit the full power of an expressive web ontology language (OIL).
Examining the Challenges of Scientific Workflows
TLDR
A recent National Science Foundation workshop brought together domain, computer, and social scientists to discuss requirements of future scientific applications and the challenges they present to current workflow technologies.
State of the nation in data integration for bioinformatics
Semantic Similarity Measures as Tools for Exploring the Gene Ontology
TLDR
Detailed investigation of the properties of these information content based measures are presented, and various properties of GO are examined, which may have implications for its future design.
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