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17-752: The DNA Data Bank of Japan ( DDBJ ) is a biological database that collects DNA sequences. It is located at the National Institute of Genetics (NIG) in the Shizuoka prefecture of Japan. It is also a member of the International Nucleotide Sequence Database Collaboration or INSDC . It exchanges its data with European Molecular Biology Laboratory at the European Bioinformatics Institute and with GenBank at

34-409: A content management system is responsible for identifying subjects of interest that cross documents, and creating appropriate systems of cross-references to support readers who seek to understand those subjects. For an individual cross-reference, an author should ensure that location and content of the target of the cross-reference are clearly identified, and the reader can easily determine how to follow

51-460: A document, especially those authored in a content management system , a cross-reference has two major aspects: The visible form contains text, graphics, and other indications that: The technical mechanism that resides within the system: If the cross-reference mechanism is well designed, the reader will be able to follow each cross-reference to the referenced content whether the content is presented in print or electronically. An author working in

68-636: A host of biological phenomena from the structure of biomolecules and their interaction, to the whole metabolism of organisms and to understanding the evolution of species . This knowledge helps facilitate the fight against diseases, assists in the development of medications , predicting certain genetic diseases and in discovering basic relationships among species in the history of life . Relational database concepts of computer science and Information retrieval concepts of digital libraries are important for understanding biological databases. Biological database design, development, and long-term management

85-434: Is a core area of the discipline of bioinformatics . Data contents include gene sequences, textual descriptions, attributes and ontology classifications, citations, and tabular data. These are often described as semi- structured data , and can be represented as tables, key delimited records, and XML structures. Most biological databases are available through web sites that organise data such that users can browse through

102-690: Is a special yearly issue of the journal Nucleic Acids Research (NAR). The Database Issue of NAR is freely available, and categorizes many of the public biological databases. A companion database to the issue called the Online Molecular Biology Database Collection lists 1,380 online databases. Other collections of databases exist such as MetaBase and the Bioinformatics Links Collection. Cross-reference The term cross-reference (abbreviation: xref ) can refer to either: In

119-584: Is an E. coli database. Other popular model organism databases include Mouse Genome Informatics for the laboratory mouse , Mus musculus , the Rat Genome Database for Rattus , ZFIN for Danio Rerio (zebrafish), PomBase for the fission yeast Schizosaccharomyces pombe , FlyBase for Drosophila , WormBase for the nematodes Caenorhabditis elegans and Caenorhabditis briggsae , and Xenbase for Xenopus tropicalis and Xenopus laevis frogs. Numerous databases attempt to document

136-588: Is how biological databases cross-reference to other databases with accession numbers to link their related knowledge together (e.g. so that the accession number stays the same even if a species name changes). Redundancy is another problem, as many databases must store the same information, e.g. protein structure databases also contain the sequence of the proteins they cover, their sequence, and their bibliographic information. Species-specific databases are available for some species, mainly those that are often used in research ( model organisms ). For example, EcoCyc

153-518: The National Center for Biotechnology Information on a daily basis. Thus these three databanks contain the same data at any given time. DDBJ began data bank activities in 1987 at NIG and remains the only nucleotide sequence data bank in Asia. Although DDBJ mainly receives its data from Japanese researchers, it can accept data from contributors from any other country. DDBJ is primarily funded by

170-407: The kind of data they collect (see below). Broadly, there are molecular databases (for sequences, molecules, etc.), functional databases (for physiology, enzyme activities, phenotypes, ecology etc), taxonomic databases (for species and other taxonomic ranks), images and other media, or specimens (for museum collections etc.) Databases are important tools in assisting scientists to analyze and explain

187-1268: The Catalogue of Life draws from 165 databases as of May 2022. Operational costs of the Catalogue of Life are paid for by the Global Biodiversity Information Facility , the Illinois Natural History Survey , the Naturalis Biodiversity Center , and the Smithsonian Institution . Some biological databases also document geographical distribution of different species. Shuang Dai et al. created a new multi-source database to document spatial/geographical distribution of 1,371 bird species in China, as existing databases had been severely lacking in spatial distribution data for many species. Sources for this new database included books, literature, GPS tracking, and online webpage data. The new database displayed taxonomy, distribution, species info, and data sources for each species. After completion of

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204-636: The Japanese Ministry of Education, Culture, Sports, Science and Technology (MEXT). DDBJ has an international advisory committee which consists of nine members, 3 members each from Europe, US, and Japan. This committee advises DDBJ about its maintenance, management and future plans once a year. Apart from this, DDBJ also has an international collaborative committee which advises on various technical issues related to international collaboration and consists of working-level participants. Biological database Biological databases can be classified by

221-404: The bird spatial distribution database, it was discovered that 61% of known species in China were found to be distributed in regions beyond where they were previously known. Medical databases are a special case of biomedical data resource and can range from bibliographies, such as PubMed , to image databases for the development of AI based diagnostic software. For instance, one such image database

238-466: The data online. In addition the underlying data is usually available for download in a variety of formats. Biological data comes in many formats. These formats include text, sequence data, protein structure and links. Each of these can be found from certain sources, for example: Biological knowledge is distributed among countless databases. This sometimes makes it difficult to ensure the consistency of information, e.g. when different names are used for

255-755: The diversity of life on earth. A prominent example is the Catalogue of Life , first created in 2001 by Species 2000 and the Integrated Taxonomic Information System. The Catalogue of Life is a collaborative project that aims to document taxonomic categorization of all currently accepted species in the world. The Catalogue of Life provides a consolidated and consistent database for researchers and policymakers to reference. The Catalogue of Life curates up-to-date datasets from other sources such as Conifer Database, ICTV MSL (for viruses), and LepIndex (for butterflies and moths). In total,

272-493: The same species or different data formats. As a consequence, inter-operability is a constant challenge for information exchange. For instance, if a DNA sequence database stores the DNA sequence along the name of a species, a name change of that species may break the links to other databases which may use a different name. Integrative bioinformatics is one field attempting to tackle this problem by providing unified access. One solution

289-563: Was developed with the goal of aiding in the development of wound monitoring algorithms. Over 188 multi-modal image sets were curated from 79 patient visits, consisting of photographs, thermal images, and 3D mesh depth maps. Wound outlines were manually drawn and added to the photo datasets. The database was made publicly available in the form of a program called WoundsDB, downloadable from the Chronic Wound Database website. An important resource for finding biological databases

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