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This study introduces TreeSummarizedExperiment, a novel R/S4 class for biological data. It integrates hierarchical structures like phylogenies with profile data, enabling easier data access and manipulation across different resolutions.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Biological data frequently exhibits hierarchical structures, such as phylogenies and cell type classifications.
  • Existing data containers often lack integrated support for these hierarchies, complicating analysis across different resolutions.

Purpose of the Study:

  • To introduce TreeSummarizedExperiment, an R/S4 class designed to store and manage biological data with associated hierarchical structures.
  • To extend the functionality of the widely-used SingleCellExperiment and SummarizedExperiment classes by incorporating tree representations.
  • To facilitate data access and manipulation at various levels of biological hierarchy.

Main Methods:

  • Development of the TreeSummarizedExperiment R/S4 class, extending SingleCellExperiment.
  • Incorporation of tree representations (phylo objects) for rows and/or columns.
  • Establishment of links between biological assays and tree nodes for multi-resolution analysis.

Main Results:

  • TreeSummarizedExperiment seamlessly integrates hierarchical data with biological profiles.
  • The class allows for efficient data manipulation at arbitrary levels of the incorporated tree structures.
  • The package is designed for extensibility, encouraging contributions of new tree-based functions.

Conclusions:

  • TreeSummarizedExperiment provides a powerful and flexible solution for analyzing hierarchical biological data.
  • Its foundation on popular R classes (SingleCellExperiment, phylo) ensures broad compatibility with existing bioinformatics tools.
  • This approach simplifies complex biological data analysis, particularly in fields involving evolutionary or cellular hierarchies.