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Related Experiment Videos

IWTomics: testing high-resolution sequence-based 'Omics' data at multiple locations and scales.

Marzia A Cremona1, Alessia Pini2, Fabio Cumbo3,4

  • 1Department of Statistics, The Pennsylvania State University, University Park, USA.

Bioinformatics (Oxford, England)
|February 24, 2018
PubMed
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This summary is machine-generated.

IWTomics is a new R/Bioconductor package that simplifies the analysis of high-resolution

Area of Science:

  • Genomics
  • Epigenomics
  • Bioinformatics

Background:

  • High-resolution 'Omics' data generation is increasing.
  • Detecting genomic effects across locations and scales is crucial for scientific inquiry.
  • Existing methods may lack comprehensive workflows for complex 'Omics' data.

Purpose of the Study:

  • To introduce IWTomics, an R/Bioconductor package for analyzing genomic and epigenomic data.
  • To provide a user-friendly workflow for pre-processing, visualizing, and testing 'Omics' data.
  • To leverage Functional Data Analysis techniques for multi-scale genomic analysis.

Main Methods:

  • Development of an R/Bioconductor package named IWTomics.
  • Integration of sophisticated Functional Data Analysis (FDA) techniques.

Related Experiment Videos

  • Implementation of a workflow within the Galaxy platform for accessibility.

    • Main Results:

    • IWTomics enables pre-processing, visualization, and statistical testing of 'Omics' data.
    • The package supports analysis at multiple genomic locations and scales.
    • It offers a flexible and complete workflow for various genomic applications.

    Conclusions:

    • IWTomics provides a powerful and accessible tool for 'Omics' data analysis.
    • The package facilitates the detection of statistically significant genomic effects.
    • It is applicable to a wide range of genomic and epigenomic research questions.