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(Molecular) bio – informatics: bioinformatics is conceptualising biology in terms of molecules (in the sense of physical chemistry) and applying “informatics techniques” (derived from disciplines such as applied maths, computer science and statistics) to understand and organise the information associated with these molecules, on a large scale. In short, bioinformatics is a management information system for molecular biology and has many practical applications

More about Bioinformatics

Bioinformatics is an interdisciplinary field that develops methods and software tools for understanding biological data. Bioinformatics combines computer science, statistics, mathematics, and engineering to analyze and interpret biological data. Bioinformatics has been used for in silico analyses of biological queries using mathematical and statistical techniques.

All the biological data is produced from DNA, RNA and protein sequencing of various organisms. This biological data is stored and analysed using software tools of bioinformatics. Bioinformatics uses computer science, mathematics and statistics to analyse and store this data. Bioinformatics was born out of necessity and when the first genome sequence was done, scientists realized that the biological information is too much to be stored by conventional tools. As it was necessary to store the huge amount of biological data produced, computer techniques were generated so that the biological information could be managed.

Goals of Bioinformatics

  • The first goal of bioinformatics is to use bioinformatics tools to organize and store biological data in such a way that researchers can easily access the existing information as well as upload new data to the databases.
  • The second goal is to develop techniques and other resources that can help in the analysing process of the biological information.
  • The third goal is to use these bioinformatics techniques to analyse the information and interpret them into a biologically meaningful sense to understand the biological significance of those data.

Few of the topics to which we cater to

  • Algorithms for biology
  • Biomedical informatics
  • Applications of microarray technique
  • Computer methods for reconstruction and analysis of biological networks
  • DNA sequencing and assembly
  • Genomics
  • Computational genomics
  • Comparative genomics and tree of life

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