Web services are the de facto standard in biomedical data integration. However, there are
data integration scenarios that cannot be fully covered by Web services. A number of Web …

Main objective of Web Scraping is to extract information from one or many websites and
process it into simple structures such as spreadsheets, database or CSV file. However, in …

Biomedical data are amassed at an ever-increasing rate, and machine learning tools that
use prior knowledge in combination with biomedical big data are gaining much traction 1, 2 …

Motivation: Advancing the search, publication and integration of bioinformatics tools and
resources demands consistent machine-understandable descriptions. A comprehensive …

The use of computational modeling to describe and analyze biological systems is at the
heart of systems biology. Model structures, simulation descriptions and numerical results …

Abstract The National Center for Biomedical Ontology is now in its seventh year. The goals
of this National Center for Biomedical Computing are to: create and maintain a repository of …

Background: Integrated data repositories (IDRs), also referred to as clinical data
warehouses, are platforms used for the integration of several data sources through …

Background Ontologies and controlled terminologies have become increasingly important in
biomedical research. Researchers use ontologies to annotate their data with ontology terms …

Motivation Biomedical ontologists to date have concentrated on ontological descriptions of
biomedical entities such as gene products and their attributes, phenotypes and so on …

Background This paper examines collaboration in a complex translational cancer research
network (TRN) made up of a range of hospital-based clinicians and university-based …