Abstract
Applying
computational techniques to analyze a multitude of information about
biomolecules, bioinformatics now has a solid place as a discipline in the field
of molecular biology and covers a range of topics from structural biology to
genomic to gene expression studies.rnBioinformatics; a technology used by
computers to store, access, use and distribute information about biological
macromolecules such as DNA, RNA, and proteins. Bioinformatics is basically the
creation of databases for the creation and storage of biological information.
Microbial bioinformatics, together with computer support, is the science of
numerical analysis of information on microorganisms.The aims of bioinformatics
can be examined in three parts. Regarding these data, it is easy to arrange the
data so that the researchers can easily reach it and record the new data as
quickly as it is produced. The second goal is to develop tools and resources
that enable this data to be meaningful. The development of these resources
requires expertise in computational sciences. The third goal of bioinformatics
is to analyze the data using these tools and turn them into biologically
meaningful information.
Keywords
References
- Baldi, P., and Brunak, S., 2001. Bioinformatics The Machine Learning Approach, Massachusetts Institute of Technology. Hogue CWV. Bioinformatics for Beginners. Trends Biochem. Sci. 2002; 27, 542-543. Klausen, M., Aaes-Jorgensen, A., Molin, S., and Tolker-Nielsen, T. (2003) Involvement of bacterial migration in the development of complex multicellular structures in Pseudomonas aeruginosa biofilms. Mol Microbiol 50: 61–68. Lee, K.W.K., Yam, K.H.J., Periasamy, S., Mukherjee, M., Kjelleberg, S., and Rice, S.A. (2016) Interspecific diversity reduces and functionally substitutes for intraspecific variation in biofilm communities. ISME J 10: 846–857 Law, Y.Y., Kirkegaard, R.H., Cokro, A.A., Liu, X., Arumugam, K., Chao, X., et al. (2016) Integrative microbial community analysis reveals full-scale enhanced biological phosphorus removal under tropical conditions. Loman, M.B., Moritz Hentschke, M.D., Wentong Chen, B.S., Fei Pu, B.S., Yangqing Peng, B.S. (2011) Genome Analysis Crowd-Sourcing Consortium New England Journal of Medicine Sayitoğlu M. .Kanser Tedavisine Farmakogenetik Yaklaşım. Türkiye Klinikleri J Med Sci., 2007; 27: 434-441.
Abstract
References
- Baldi, P., and Brunak, S., 2001. Bioinformatics The Machine Learning Approach, Massachusetts Institute of Technology. Hogue CWV. Bioinformatics for Beginners. Trends Biochem. Sci. 2002; 27, 542-543. Klausen, M., Aaes-Jorgensen, A., Molin, S., and Tolker-Nielsen, T. (2003) Involvement of bacterial migration in the development of complex multicellular structures in Pseudomonas aeruginosa biofilms. Mol Microbiol 50: 61–68. Lee, K.W.K., Yam, K.H.J., Periasamy, S., Mukherjee, M., Kjelleberg, S., and Rice, S.A. (2016) Interspecific diversity reduces and functionally substitutes for intraspecific variation in biofilm communities. ISME J 10: 846–857 Law, Y.Y., Kirkegaard, R.H., Cokro, A.A., Liu, X., Arumugam, K., Chao, X., et al. (2016) Integrative microbial community analysis reveals full-scale enhanced biological phosphorus removal under tropical conditions. Loman, M.B., Moritz Hentschke, M.D., Wentong Chen, B.S., Fei Pu, B.S., Yangqing Peng, B.S. (2011) Genome Analysis Crowd-Sourcing Consortium New England Journal of Medicine Sayitoğlu M. .Kanser Tedavisine Farmakogenetik Yaklaşım. Türkiye Klinikleri J Med Sci., 2007; 27: 434-441.
Details
| Primary Language | English |
|---|---|
| Subjects | Engineering |
| Journal Section | Articles |
| Authors | |
| Publication Date | December 4, 2018 |
| Published in Issue | Year 2018Issue: 4 |
