Sentence examples for many biological databases from inspiring English sources

Many biological databases that provide comparative genomics information and tools are now available on the internet.

Alias names of proteins also present a problem with redundancies, but this is a problem endemic to many biological databases.

Manual extraction of information from the biomedical literature or biocuration is the central methodology used to construct many biological databases.

To date, many biological databases have been established to catalog relationships among genes [ 1], diseases [ 2], and chemicals [ 3].

Many biological databases exist to organize and store either the sequencing data or associated biological data or both.

Associations between gene products and these terms are assigned by many biological databases providing detailed functional descriptions.

They were developed to retrieve and combine the data from many biological database sources, but they were not designed to store data from functional annotation processes.

Moreover, data exploitation in biological research involves not only actual datasets but also previous knowledge (sometimes referred to as Biological Domain Data [ 29]) which is captured in knowledge databases such as Gene Ontology [ 36] or the many biological pathway databases such as KEGG [ 37], or Reactome [ 38].

As a result many biological resource databases have been designed in various research institutes and are commonly created without meeting validated quality standards.

We have developed Gitools, a desktop application for researchers with no necessary knowledge in bioinformatics that allows accessing many available biological databases, performing analyses following simple steps and visualising data using interactive heat-maps.

To address this issue, the DCC, like many other biological databases, is using terms from the ontologies to describe the experimental metadata.