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Paulien Hogeweg’s paper, “The Roots of Bioinformatics in Theoretical Biology,” describes the origins of the term “bioinformatics” and the history of its use.  According to the author use of the word itself can be traced back to a Dutch article written in 1970.  It was defined at the time by the author as “the study of informatic processes in biotic systems” (Hogeweg, 2011).  Working within the larger field of theoretical biology, the researchers that coined the term felt that it was important to recognize the importance of information gathering as a biological process. [“Write my essay for me?” Get help here.]

Soon after the introduction of the term, theoretical biology saw a brief recession of interest.  When researchers later began to focus once again on experimental molecular biology, bioinformatics once again became a source of interest to researchers.  Its long term goals in this new context were to “go beyond pattern formation to multilevel models of development and morphogenesis” (Hogeweg, 2011) and to form a better understanding of the patterns inherent in evolutionary biology.  These goals were facilitated by technological advances in data collection and processing, including genome sequencing.[Need an essay writing service? Find help here.]

The ability of computers to analyze nonlinear systems and modeling studies pushed the field of bioinformatics toward the forefront of theoretical biology.  The coding of structures and mapping of genotypes continued to play an important role as technological advancements allowed for the development of a more data driven approach to researchers’ studies.  As a result the term itself began to see more mainstream use in the late 1980s.  Modeling and data analysis common to the field of “systems biology” (Hogeweg, 2011) continue to draw on the basic premises of bioinformatics, and progress continues to be made in accomplishing the stated goals of the researchers who coined the term.[Click Essay Writer to order your essay]

Hogeweg, Paulien (2011). “The Roots of Bioinformatics in Theoretical Biology.” PloS Computational Biology, Vol. 7.3.

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