Bioinformatics: A fusion of Computers and Biological Data:Transparency Market Research

Bioinformatics: A fusion of Computers and Biological Data:Transparency Market Research

  • Submitted By: Alinajohn
  • Date Submitted: 04/17/2015 2:08 AM
  • Category: Business
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Bioinformatics: A fusion of Computers and Biological Data

Global Bioinformatics Market (By Platforms, Tools and Services and By Applications: Preventive Medicine, Molecular Medicine, Gene Therapy Drug Development and Others) - Industry Analysis, Size, Share, Growth, Trends and Forecast, 2014 - 2020

Bioinformatics refers to an interdisciplinary approach to store, retrieve, organize and analyze biological and genetic data. A major part of this field comprises of the activity of developing software tools to generate and process useful biological data.

Browse Full Bioinformatics Market Research Report With Complete TOC @

Bioinformatics is not to be confused with biological computation. While bioinformatics simply makes use of computers for the better understanding of biology can its related concepts, biological computation refers to the subfield of computer engineering that seeks to build biological computers by using biology and bioengineering concepts.

Bioinformatics is, however, much similar to computational biology, only the scale of application and study differs - bioinformatics studies biological data on a molecular scale with keen attention to details while computational biology studies biological data by building large-scale theoretical models of biological systems and studying them with an abstract view to expand our knowledge about them.

Bioinformatics makes use of various laws of computer science, engineering, applied math and statistics to conceptualize biology in terms of bio-molecules (RNAs, DNAs) and process the resulting data in various ways in attempt to decode the code of life.

The use of computers has made the process of reading complex biological data much faster and efficient than before. Huge databases and information systems are used to store and retrieve data; analytical algorithms in soft computing, artificial intelligence, data mining, image...

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