Welcome to APA
Altered Pathway Analyzer via network connection rewiring
Altered Pathway Analyzer (APA) is a cross-platform and standalone tool for analyzing gene expression datasets to highlight significantly rewired pathways across case-vs-control conditions. The Tool is designed to analyze human gene expression datasets (with Entrez ID); however, the analysis can be performed on gene expression datasets of other species by using appropriate flags and input files. APA algorithm is unique prioritization algorithm that also uses gene-regulatory network to identify transcriptionally dysregulated pathways. It, thus, uses altered Transcription Factor (TF) and Target Gene (TG) relationship for prioritizing gene circuit rewired pathways. For Human datasets, it requires Gene expression matrices (RNAseq read count or Normalized gene expression values) with genes in Entrez ID format. For other species, please refer the manual
Applications
→ Predict rewired sub-network or dysregulated or altered pathways from gene expression datasets (RNAseq read count or normalized gene expression values).
→ Calculate TF-mediated differential regulation of each predicted pathway
→ Reveal rewired regulatory interactions, i.e. TFs and its TGs, in altered pathways.
→ Perform context-specific disease gene enrichment analysis.
→ Sub-network analysis for pathway-specific gene prioritization
Input
RNAseq Read count matrices or Normalized gene expression profiles
Source Code
Download APA (Version 3.0) (File size: 4.5 MB).
APA has been tested only on linux machine but should also work on windows and Mac machines.
For more information about APA dependencies, its usage and input files format click here
Projects
Contact Information
Dr. Dinesh GuptaTeam leader, Translational Bioinformatics group
ICGEB, New Delhi, India
dinesh@icgeb.res.in
Abhinav kaushik
abhinav@icgeb.res.in