BIOINFORMATICS Pinaki Kr. Rabha The term

BIOINFORMATICS Pinaki Kr. Rabha The term
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BIOINFORMATICS Pinaki Kr. Rabha The term Bioinformatics was first introduced in 1970 by Paulien Hogeweg to refer to the study of information processes in biotic systems. While some people define the term as An integration of computer,

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BIOINFORMATICS Pinaki Kr. Rabha<br>
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The term ‘Bioinformatics’ was first introduced in 1970 by Paulien Hogeweg to refer to the study of information processes in biotic systems. While some people define the term as “An integration of computer, mathematical and statistical methods to manage and analyze biological information”, others view it as “The field of science in which Biology, Computer Science, and Information technology merge into a single discipline”.
In the present-day context, Bioinformatics involve the use of techniques including applied mathematics, informatics, statistics, computer science, chemistry and biochemistry to solve biological problems usually on the molecular level. Major research efforts in the field include sequence alignment, gene finding, genome assembly, protein structure alignment, protein structure prediction, prediction of gene expression and protein-protein interactions, and the modeling of evolution.<br>
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Bioinformatics comprises three components.
Creation of databases: This involves the organizing, storage and management of the biological data sets. The databases are accessible to researchers to know the existing information and submit new entries, e.g., protein sequence data for molecular structure.
Development of algorithms and statistics: This involves the development of tools and resources to determine the relationship among the members of large data sets e.g., comparison of protein sequence data with the already existing protein sequences.
Analysis of data and interpretation: The appropriate use of components 1 and 2 to analysis data and interpret the results in a biologically meaningful manner. These includes DNA, RNA and protein sequences, protein structure, gene expression profiles and biochemical pathways.<br>