BioMart is an open source data management system that comes with a range of query interfaces that allow users to group and refine data based upon many different criteria.
Breast cancer survivors may present to the reproductive medicine specialist and gynaecologist with a range of queries and symptoms, and younger women have additional concerns particularly regarding fertility and premature menopause that need to be addressed and managed (Partridge et al., 2007).
The BioMart databases and accompanying interface provides users with a fast and flexible means of querying the customized sets of biological data using a wide range of querying methods.
In the immediate future, we hope to expand the range of querying possible from the IKMC BioMart portal by including two new datasets currently being developed by members of the I-DCC.
The framework is composed of generic components that can be configured to create a range of process querying methods.
Both routes provide a range of methods for querying the database in a variety of ways, using four main data types: src_compound_ids, src_ids, Standard InChIs (interface only) and Standard InChIKeys.
Our approach to the research on LOD has always been to develop models and data structures that can support a range of spatial queries, rather than being optimized for rendering.
If at least one of the hits fulfils the limit given by the "filter threshold", the hit that is longer and has higher identity to the reference within a range of same query positions is kept.
A data warehouse is particularly desirable, since it permits a wide range of queries based on diverse attributes (including genes, proteins, families, pathways, ontologies, diseases and expression profiles) and possesses the ability to produce unified output and the flexibility in selecting the type and the order of the data sources.
