Pevsner (2015) summarizes the field of bioinformatics and genomics from three perspectives: i) the cell and the central dogma of molecular biology.

Bioinformatics is the application of Information technology to store, organize and analyse the vast amount of biological data.

application of computational tools to organize, analyze, understand, visualize and store information associated with biological macromolecules” (Luscombe et al., 2001; Pevsner, 2015).

Read this article to learn about the history, coverage, components and applications of bioinformatics. Bioinformatics and Its Applications in Plant Biology Seung Yon Rhee,1 Julie Dickerson,2 and Dong Xu3 1Department of Plant Biology, Carnegie Institution, Stanford, California 94305; email: rhee@acoma.stanford.edu 2Baker Center for Computational Biology, …

This will help in plant health care based disease diagnosis to improve the quality of Plant.

Bioinformatics is the application of Information technology to store, organize and analyse the vast amount of biological data. The National Center for Biotechnology Information (NCBI, 2001) defines bioinformatics as the field of science in which biology, computer science, and informati…

Last Updated on: January 13, 2020 by Sagar Aryal Bioinformatics- Introduction and Applications. Such areas are: (1) Functional Genomics (2) Structural Genomics (3) Comparative Genomics (4) DNA Microarrays and (5) Medical Informatics. APPLICATIONS OF BIOINFORMATICS IN DRUG DISCOVERY AND PROCESS RESEARCH Dr. Basavaraj K. Nanjwade M.Pharm., Ph.D Associate Professor Department of Pharmaceutics… SlideShare utilise les cookies pour améliorer les fonctionnalités et les performances, et également pour vous montrer des publicités pertinentes. The bioinformatics covers many specialized and advanced areas of biology. Application of various bioinformatics tools in biological research enables storage, retrieval, analysis, annotation and visualization of results and promotes better understanding of biological system in fullness.

Bioinformatics joins mathematics, statistics, and computer science and information technology to solve complex biological problems.

With a large number of prokaryotic and eukaryotic genomes completely sequenced and more forthcoming, access to the genomic information and synthesizing it for the discovery of new knowledge have become central themes of modern biological research.

These problems are usually t the molecular level which cannot be solved by other means. This interesting field of science has many applications and research areas where it can be applied.

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