BioInformatics Software
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This document provides an overview of bioinformatics software. It discusses how bioinformatics is an interdisciplinary field that develops methods and tools for understanding biological data. The document outlines the history, goals, approaches, relation to other fields, and conclusion of bioinformatics. It was written by Umer Farooq for a class at the University of Education, Okara Campus in Pakistan.
BioInformatics Software
- 1. Bioinformatics Software. Umer Farooq Roll No:1053 Bs(H)Botany(M) University Of Education, Okara Campus.
- 2. Table Of Contents. • Introduction • History • Goals • Approaches • Relation with other fields • Conclusion • Reference
- 3. Introduction • Bioinformatics is an interdisciplinary field that develops methods and software tools for understanding biological data. As an interdisciplinary field of science, bioinformatics combines many fields.
- 4. History. • Paulien Hogeweg and Ben Hesper coined the term bioinformatics in 1970 to refer to the study of information processes in biotic systems. This definition placed bioinformatics as a field parallel to biophysics or biochemistry .
- 5. Goals. • In order to study how normal cellular activities are altered in different disease states, the biological data must be combined to form a comprehensive picture of these activities. Therefore, the field of bioinformatics has evolved such that the most pressing task now involves the analysis and interpretation of various types of data.
- 6. Approaches • Common activities in bioinformatics include mapping and analyzing DNA and protein sequences, aligning DNA and protein sequences to compare them, and creating and viewing 3-D models of protein structures.
- 7. Relation With other fields. • Bioinformatics is a similar but distinct science from biological computation and computational biology. Biological computation uses bioengineering and biology to build biological computers, whereas bioinformatics uses computation to better understand biology. Bioinformatics and computational biology have similar aims and approaches, but differ in scale.
- 8. Conclusion. • Bioinformatics has become an important part of many areas of biology. In experimental molecular biology, bioinformatics techniques such as image and signal processing allow extraction of useful results from large amounts of raw data. In the field of genetics and genomics.