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GeneTrail 3: advanced high-throughput enrichment analysis.

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Summary

GeneTrail 3 enhances biological process analysis with extensive pathway data for 12 organisms. This web service supports transcriptomic, epigenomic, and single-cell data, aiding complex molecular mechanism discovery.

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Area of Science:

  • Bioinformatics
  • Systems Biology
  • Genomics

Background:

  • Identifying deregulated biological processes is crucial for understanding complex diseases.
  • Existing tools often lack comprehensive pathway databases or integrated analysis frameworks for diverse omics data.

Purpose of the Study:

  • To introduce GeneTrail 3, a major extension of the GeneTrail web service.
  • To provide a powerful, integrated platform for the analysis and visualization of deregulated biological processes using multi-omics data.
  • To offer novel workflows for analyzing epigenetic marks, time series, and single-cell data.

Main Methods:

  • Developed a web service with a comprehensive collection of biological processes and signaling pathways for 12 model organisms.
  • Implemented a robust framework for enrichment and network analysis of transcriptomic, miRNomic, proteomic, and genomic data.
  • Integrated novel workflows for epigenetic, time series, and single-cell data analysis.

Main Results:

  • GeneTrail 3 offers rich functionality for identifying, analyzing, and visualizing deregulated biological processes.
  • The service supports a wide range of omics data types and advanced analysis methods.
  • Case studies demonstrate GeneTrail 3's capability in uncovering complex molecular mechanisms.

Conclusions:

  • GeneTrail 3 is a powerful and versatile web service for biological process analysis.
  • The platform facilitates the exploration of complex molecular mechanisms across various data types and organisms.
  • GeneTrail 3 is freely accessible, promoting wider research application.