Microarray Bioinformatics and Applications in Oncology
Year: 2008
Type: dissertation
Abstract: Bioinformatics’ is one of the newest fields of biological research, and should be viewed broadly as \nthe use of mathematical, statistical, and computational methods for the processing and analysis \nof biologic data [1]. Over the last decade, the rapid growth of information and technology in \nboth ‘genomics1’ and ‘omics2’ era’s has been overwhelming for the laboratory scientists to process \nexperimental results. Traditional gene-by-gene approaches in research are insufficient to meet \nthe growth and demand of biological research in understanding the true biology. The massive \namounts of data generated by new technologies as genomic sequencing and microarray chips \nmake the management of data and the integration of multiple platforms of high importance; \nthis is then followed by data analysis and interpretation to achieve biological understanding \nand therapeutic progress. Global views of analyzing the magnitude of information are necessary \nand traditional approaches to labwork have steadily been changing towards a bioinformatic \nera. Research is moving from being restricted to a laboratory environment to working with \ncomputers in a ‘virtual lab’ environment.
Author: Justine Peeters
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W1522130372