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1.
Antonie Van Leeuwenhoek ; 64(3-4): 205-29, 1993.
Article in English | MEDLINE | ID: mdl-8085786

ABSTRACT

The dynamic expansion of the taxonomic knowledge base is fundamental to further developments in biotechnology and sustainable conservation strategies. The vast array of software tools for numerical taxonomy and probabilistic identification, in conjunction with automated systems for data generation are allowing the construction of large computerised strain databases. New techniques available for the generation of chemical and molecular data, associated with new software tools for data analysis, are leading to a quantum leap in bacterial systematics. The easy exchange of data through an interactive and highly distributed global computer network, such as the Internet, is facilitating the dissemination of taxonomic data. Relevant information for comparative sequence analysis, ribotyping, protein and DNA electrophoretic pattern analysis is available on-line through computerised networks. Several software packages are available for the analysis of molecular data. Nomenclatural and taxonomic 'Authority Files' are available from different sources together with strain specific information. The increasing availability of public domain software, is leading to the establishment and integration of public domain databases all over the world, and promoting co-operative research projects on a scale never seen before.


Subject(s)
Bacteria , Biotechnology , Databases, Factual , Software , Amino Acid Sequence , Bacteria/classification , Bacteria/genetics , Bacterial Proteins/chemistry , Bacterial Proteins/genetics , Base Sequence , DNA, Bacterial/chemistry , DNA, Bacterial/genetics , Sequence Homology, Amino Acid , Sequence Homology, Nucleic Acid
2.
Comput Methods Programs Biomed ; 27(3): 275-85, 1988.
Article in English | MEDLINE | ID: mdl-3215024

ABSTRACT

System design for the Hybridoma Data Bank, a database of comprehensive information on immunoreagents for use by scientists in diverse disciplines, is described. Unique problems include: use of nomenclature from diverse fields that is neither static nor standard; the need for two representations of the database--textual for readability and numeric for complex search capabilities, analysis and data compression; and a method of translating between the two representations of the database.


Subject(s)
Clinical Laboratory Information Systems/methods , Hybridomas/classification , Information Systems/methods , Software Design , Software , Terminology as Topic , Animals , Antibodies, Monoclonal , Biomarkers , Humans , International Cooperation , Mathematical Computing , Microcomputers
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