Bioinformatics
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- Work cat.: Bioinformatics, 1998("Bioinformatics is a new field of science that utilizes data from the biological sciences and many ancillary disciplines. A formal definition of bioinformatics has been given as 'the systematic development and application of computing systems and computational solution techniques analyzing data obtained by experiments, modeling, database search, and instrumentation regarding biological aspects.' We have broadened and extended this definition to include 'the delivery of the data and its synthesis to potential users.'")
- Bioinformatics, museums, and society, 1998("Bioinformatics is an emerging field of science that integrates biological with geographical, climatological, health related, and economic databases to provide a framework for understanding biocomplexity within the context of significant societal issues. Bioinformatics is a systems approach that allows for retrospective analysis of past events, real-time analysis of complex contemporary data sets, and, ideally, positioning for an unpredictable future.")
- LC database, Apr. 29, 2000(bioinformatics; computational biology)
- MESH(Computational Biology x Bio-informatics, Bioinformatics)
- The dict. of cell and molecular biol., via WWW, Apr. 29, 2000(bioinformatics: The discipline of using computers to collate and form datasets of interest to biologists. Usually used to refer to databases of DNA and protein sequences, and of mutations, disease and gene functions, in the context of genome projects.)
- Life science dict., via WWW, Apr. 29, 2000(bioinformatics: The use of computers in solving information problems in the life sciences; mainly, it involves the creation of extensive electronic databases on genomes, protein sequences, etc. Secondarily, it involves techniques such as the three-dimensional modeling of biomolecules and biologic systems.)
Bioinformatics ( ) is an interdisciplinary field of science that develops methods and software tools for understanding biological data, especially when the data sets are large and complex. Bioinformatics uses biology, chemistry, physics, computer science, data science, computer programming, information engineering, mathematics and statistics to analyze and interpret biological data. The process of analyzing and interpreting data can sometimes be referred to as computational biology, however this distinction between the two terms is often disputed. To some, the term computational biology refers to building and using models of biological systems. Computational, statistical, and computer programming techniques have been used for computer simulation analyses of biological queries. They include reused specific analysis "pipelines", particularly in the field of genomics, such as by the identification of genes and single nucleotide polymorphisms (SNPs). These pipelines are used to better understand the genetic basis of disease, unique adaptations, desirable properties (especially in agricultural species), or differences between populations. Bioinformatics also includes proteomics, which tries to understand the organizational principles within nucleic acid and protein sequences. Image and signal processing allow extraction of useful results from large amounts of raw data. In the field of genetics, it aids in sequencing and annotating genomes and their observed mutations. Bioinformatics includes text mining of biological literature and the development of biological and gene ontologies to organize and query biological data. It also plays a role in the analysis of gene and protein expression and regulation. Bioinformatics tools aid in comparing, analyzing and interpreting genetic and genomic data and more generally in the understanding of evolutionary aspects of molecular biology. At a more integrative level, it helps analyze and catalogue the biological pathways and networks that are an important part of systems biology. In structural biology, it aids in the simulation and modeling of DNA, RNA, proteins as well as biomolecular interactions.
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