Sentence examples for large biological databases from inspiring English sources

Components which require large biological databases automatically download local copies of those databases upon installation.

Besides the various experimental methods, a variety of large biological databases that contain information concerning PPI data is already available and most of them are organism specific.

Additionally, several other interestingness measures have been proposed [ 11], with some potentially being better suited to handle large biological databases (e.g. [ 12]).

Using InterMine, large biological databases can be created from a range of heterogeneous data sources, and the extensible data model allows for easy integration of new data types.

BioMAJ, where MAJ stands for 'mise a jour', which is French word for 'update', is designed to automate and manage data workflows associated with updating and processing local mirrors of large biological databases.

Bioinformatics is an interdisciplinary research field that develops tools for the analysis of large biological databases, and, thus, the use of high performance computing (HPC) platforms is mandatory for the generation of useful biological knowledge.

Such interaction confidence values are now available in large biological network databases, such as MINT (Ceol et al., 2010) and STRING (Szklarczyk et al., 2011).

Following this idea, we have generated here a reliable model that uses the compositional bias of PrDs, taking special care on thoroughly benchmarking the algorithm in order to establish realistic confidence intervals for predicting in large biological sequence databases.

Nevertheless, this property becomes a limitation when the number of negative instances is considerably higher than the population of positives, which is quite common in the analysis of large biological sequence databases.

These efforts will support existing initiatives such as ELIXIR (http://www.elixir-europe.org) and BioCreaTiVe in facilitating the curation of large-scale biological databases and ontologies, together with the aggregation of workflows and services.

Many features of the InterMine system have been designed to lower the effort required for the setup and maintenance of large-scale biological databases, and these are outlined later in the text and discussed in more detail in the Supplementary Material.