YMLA
YMLA performs comparative functional enrichment analysis of multiple yeast gene lists by leveraging 39 yeast-specific features including Gene Ontology terms and interaction data.
Key Features:
- Multi-List Comparative Analysis: Performs comparative investigations across multiple gene lists to identify shared and distinct enriched features.
- 39 yeast-specific features: Incorporates 39 yeast-specific features encompassing Gene Ontology terms and interaction data for nuanced functional interpretation.
- Customized Feature Reanalysis: Supports reanalysis on selected subsets of enriched features to enable focused hypothesis generation.
- Visualization options: Produces tabular views, heatmaps, and network plots to represent relationships among enriched features and gene lists.
Scientific Applications:
- High-throughput yeast experiments: Facilitates comparative analysis of gene lists derived from high-throughput experiments in yeast.
- Gene expression and regulatory network analysis: Enables investigation of gene expression patterns and regulatory networks through comparative enrichment.
- Functional genomics and systems biology: Supports studies that explore enriched biological functions and interactions in functional genomics and systems biology contexts.
- Translation efficiency studies: Has been applied to analyze genes with extreme translation efficiency values to validate and extend experimental findings.
Methodology:
Integrates multiple gene lists for comparative functional enrichment using 39 yeast-specific features (including Gene Ontology terms and interaction data), supports customized reanalysis on selected enriched feature subsets, and generates tabular views, heatmaps, and network plots.
Topics
Details
- Cost:
- Free of charge
- Tool Type:
- web application
- Operating Systems:
- Mac, Linux, Windows
- Added:
- 2/10/2023
- Last Updated:
- 11/24/2024
Operations
Publications
Yang T, Hsu C, Wang Y, Yu C, Rathod J, Tseng Y, Wu W. YMLA: A comparative platform to carry out functional enrichment analysis for multiple gene lists in yeast. Computers in Biology and Medicine. 2022;151:106314. doi:10.1016/j.compbiomed.2022.106314. PMID:36455295.