fastLiquidAssociation

fastLiquidAssociation performs genome-wide liquid association (LA) analysis to identify gene triplets where the coexpression of two genes depends on the expression level of a third controller gene.


Key Features:

  • Efficient Screening Algorithm: Implements a screening method that reduces the number of gene triplets requiring examination while achieving over 99.8% agreement with exhaustive search and reducing computational run time by 81–93% on a Saccharomyces cerevisiae test subset.
  • Genome-wide Application: Enables LA estimation across entire genomes to address scalability and resource limitations of traditional LA methods.
  • Significance Analysis Integration: Provides code for conducting subsequent significance analyses on triplets with large LA values.
  • Exploratory Gene Set Enrichment Analysis: Facilitates exploratory analyses to associate controller genes in significant triplets with biological processes such as energy regulation, transportation, and sporulation in yeast datasets.

Scientific Applications:

  • Gene regulatory network discovery: Detects controller-dependent coexpression patterns to reveal regulatory relationships and pathways among genes.
  • Empirical application in yeast: Applied to a Saccharomyces cerevisiae cell-cycle dataset comprising 6,178 genes to identify triplet combinations with significantly large LA values.
  • Cross-organism applicability: Applicable to genome-wide LA analyses in organisms beyond yeast to investigate dynamic gene interactions.

Methodology:

Uses a fast screening algorithm for genome-wide LA estimation, followed by significance analyses of identified triplets and exploratory gene set enrichment analysis on controller genes.

Topics

Collections

Details

License:
GPL-2.0
Tool Type:
command-line tool, library
Operating Systems:
Linux, Windows, Mac
Programming Languages:
R
Added:
1/17/2017
Last Updated:
11/25/2024

Operations

Data Inputs & Outputs

Publications

Gunderson T, Ho Y. An efficient algorithm to explore liquid association on a genome-wide scale. BMC Bioinformatics. 2014;15(1). doi:10.1186/s12859-014-0371-5. PMID:25431229. PMCID:PMC4255454.

Documentation

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