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Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
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MathIOmica: An Integrative Platform for Dynamic Omics.

George I Mias1, Tahir Yusufaly2, Raeuf Roushangar1

  • 1Michigan State University, Biochemistry and Molecular Biology, East Lansing, MI 48824, USA.

Scientific Reports
|November 25, 2016
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This summary is machine-generated.

The MathIOmica package integrates multiple omics data for personalized medicine. It offers tools for bioinformatics analysis, aiding researchers in genomics and data integration.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Increasing availability of multi-omics data requires advanced integration methods.
  • Personalized medicine necessitates the interpretation of dynamic, multimodal assay results.

Purpose of the Study:

  • Introduce MathIOmica, a Wolfram Language package for bioinformatics.
  • Facilitate the integration and analysis of multi-omics data.

Main Methods:

  • Utilizing the Wolfram Language for bioinformatics tasks.
  • Implementing tools for data import, annotation, and normalization.
  • Applying clustering, visualization, and pathway analysis.

Main Results:

  • MathIOmica provides a comprehensive suite of bioinformatics tools.
  • The package supports the integration of dynamic profiling data for personalized medicine.
  • Enables annotation and enumeration of ontology memberships and pathway analysis.

Conclusions:

  • MathIOmica aids in developing new bioinformatics tools.
  • Promotes interdisciplinary research in genomics and omics data integration.
  • Supports researchers transitioning from mathematical and physical sciences to bioinformatics.