High-throughput technologies for DNA sequencing and for analyses of transcriptomes,
proteomes and metabolomes have provided the foundations for deciphering the structure …

Data integration is a perennial issue in bioinformatics, with many systems being developed
and many technologies offered as a panacea for its resolution. The fact that it is still a …

Objectives To provide typical examples of biomedical ontologies in action, emphasizing the
role played by biomedical ontologies in knowledge management, data integration and …

Biomedical research is drowning in data, yet starving for knowledge. Current challenges in
biomedical research and clinical practice include information overload–the need to combine …

Despite a large and multifaceted effort to understand the vast landscape of phenotypic data,
their current form inhibits productive data analysis. The lack of a community-wide …

Many scientists now manage the bulk of their bibliographic information electronically,
thereby organizing their publications and citation material from digital libraries. However, a …

Research in artificial intelligence (AI) is addressing a growing number of tasks through a
rapidly growing number of models and methodologies. This makes it difficult to keep track of …

Technological advances on the development of mobile devices, medical sensors, and
wireless communication systems support a new generation of unobtrusive, portable, and …

Distributed systems are often modeled by objects that run concurrently, each with its own
processor, and communicate by synchronous remote method calls. This may be satisfactory …

New knowledge is produced at a continuously increasing speed, and the list of papers,
databases and other knowledge sources that a researcher in the life sciences needs to cope …