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E.g., Wessler, regeneration, PubMed ID 17578919.

expand all sections collapse all sections  Reference "Biological ontologies in rice databases. An introduction to the activities in Gramene and Oryzabase"
Reference ID 9505
Title Biological ontologies in rice databases. An introduction to the activities in Gramene and Oryzabase
Source Plant & cell physiology, 2005, vol. 46, pp. 63-68
Authors (2)
Abstract An enormous amount of information and materials in the field of biology has been
accumulating, such as nucleotide and amino acid sequences, gene and protein
functions, mutants and their phenotypes, and literature references, produced by
the rapid development in this field. Effective use of the information may
strongly promote biological studies, and may lead to many important findings. It
is, however, time-consuming and laborious for individual researchers to collect
information from individual original sites and to rearrange it for their own
purpose. A concept, ontology, has been introduced in biology to support and
encourage researchers to share and reuse information among biological databases.
Ontology has a glossary, named dynamic controlled vocabulary, in which
relationships between terms are defined. Since each term is strictly defined and
identified with an ID number, a set of data represented in biological ontology
is easily accessible to automated information processing, even if the data sets
are across several databases and/or different organisms. In this mini-review, we
introduce activities in Gramene and Oryzabase, which provide biological
ontologies for Oryza sativa (rice).

toggle section  Database Cross-References (1)
box  Proteins (0)
box  Markers (0)
box  QTL (0)
box  Genes (0)
box  Ontologies (0)
box  Map Sets (0)
box  Diversity Experiments (0)

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