Bioinformatics Subject Area
(Redirected from bioinformatics)
Bioinformatics Subject Area is a Subject Area that combines Computer Science and Biology.
- AKA: Computational Biology.
- See: Subject Area, Statistical Genetics, Bioinformatics Journal, Clinical Research.
- (Wikipedia, 2021) ⇒ https://en.wikipedia.org/wiki/Bioinformatics Retrieved:2021-11-21.
- QUOTE: Bioinformatics is an interdisciplinary field that develops methods and software tools for understanding biological data, in particular when the data sets are large and complex. As an interdisciplinary field of science, bioinformatics combines biology, computer science, information engineering, mathematics and statistics to analyze and interpret the biological data. Bioinformatics has been used for in silico analyses of biological queries using mathematical and statistical techniques.Bioinformatics includes biological studies that use computer programming as part of their methodology, as well as a specific analysis "pipelines" that are repeatedly used, particularly in the field of genomics. Common uses of bioinformatics include the identification of candidates genes and single nucleotide polymorphisms (SNPs). Often, such identification is made with the aim to better understand the genetic basis of disease, unique adaptations, desirable properties (esp. in agricultural species), or differences between populations. In a less formal way, bioinformatics also tries to understand the organizational principles within nucleic acid and protein sequences, called proteomics.
- (Wikipedia, 2021) ⇒ https://en.wikipedia.org/wiki/Glossary_of_clinical_researchs Retrieved:2021-11-21.
- QUOTE: Bioinformatics
- The science of using computers, databases, and math to organize and analyze large amounts of biological, medical, and health information. Information may come from many sources, including patient statistics, tissue specimens, genetics research, and clinical trials. (NCI)
- QUOTE: Bioinformatics
- Master's Degree in Statistics at the University of Chicago. http://www.stat.uchicago.edu/admissions/ms-degree.html
- Biostatistics: Biology, medicine and psychology are major areas where quantitative analysis are essential. The program relies on an intimate collaboration with practitioners in the University of Chicago Pritzker School of Medicine. Several courses that are suitable for this track are offered by the Health Studies Department.
- Statistical Genetics: Statistics plays an important role in modern genetics and bioinformatics. Faculty in the Department of Statistics have broad interests in this area including gene mapping, analysis of gene expression data, and other mathematical and statistical problems arising in genetics. Additional coursework beyond the usual program may be required, and even well-prepared students may need at least part of a second year to specialize in statistical genetics.
- Bioinformatics: The scientific discipline that encompasses all aspects of biological information acquisition, processing, storage, distribution, analysis and interpretation that = combines the tools of mathematics, computer science and biology with the aim of understanding the biological significance of a variety of data. Also referred to as computational biology.