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Application of MATLAB in -Omics and Systems Biology

In: Applications from Engineering with MATLAB Concepts

Author

Listed:
  • Arsen Arakelyan
  • Lilit Nersisyan
  • Anna Hakobyan

Abstract

Biological data analysis has dramatically changed since the introduction of high-throughput -omics technologies, such as microarrays and next-generation sequencing. The key advantage of obtaining thousands of measurements from a single sample soon became a bottleneck limiting transformation of generated data into knowledge. It has become apparent that traditional statistical approaches are not suited to solve problems in the new reality of "big biological data." From the other side, traditional computing languages such as C/C++ and Java, are not flexible enough to allow for quick development and testing of new algorithms, while MATLAB provides a powerful computing environment and a variety of sophisticated toolboxes for performing complex bioinformatics calculations.

Suggested Citation

  • Arsen Arakelyan & Lilit Nersisyan & Anna Hakobyan, 2016. "Application of MATLAB in -Omics and Systems Biology," Chapters, in: Jan Valdman (ed.), Applications from Engineering with MATLAB Concepts, IntechOpen.
    • Handle: RePEc:ito:pchaps:101116
    DOI: 10.5772/62847
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    More about this item

    Keywords

    biological data mining/visualization; -omics data analysis; pathway visualization; pathway flow analysis; KEGG pathway database;
    All these keywords.

    JEL classification:

    • C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General

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