Extracting biology from high-dimensional biological data

Extracting biology from high-dimensional biological data.

The promise of the genome project was that a complete sequence would provide us with information that would transform biology and medicine. But the 'parts list' that has emerged from the genome project is far from the 'wiring diagram' and 'circuit logic' we need to understand the link between genotype, environment and phenotype. While genomic technologies such as DNA microarrays, proteomics and...

Extracting meaning from biological imaging data

Biological imaging continues to improve, capturing continually longer-term, richer, and more complex data, penetrating deeper into live tissue. How do we gain insight into the dynamic processes of disease and development from terabytes of multidimensional image data? Here I describe a collaborative approach to extracting meaning from biological imaging data. The collaboration consists of teams ...

Finding High-Order Correlations in High-Dimensional Biological Data

Extracting Knowledge from Biological Descriptions

We describe a system which performs biological identification on the basis of natural language descriptions. The system parses texts containing large sets of biological descriptions in restricted natural language and constructs a knowledge base. The system can semi-automatically adapt to a text by extending its lexicon and perhaps its grammar. The constructed knowledge bases are used to perform...

Systems Biology Approaches to Mining High Throughput Biological Data

With advances in high throughput measurement techniques, large-scale biological data have been and will continuously be produced, for example, gene expression data, protein-protein interaction (PPI) data, tandem mass spectra data, microRNA expression data, lncRNA expression data, and biomolecule-disease association data. Such data contain insightful information for understanding the mechanism o...