GeneTrail 3.2
Advanced high-throughput enrichment analysis
Standard workflows
Transcriptomics
Upload gene expression data and perform enrichment analysis based on gene sets derived from popular databases like GO, KEGG and Reactome.
Proteomics
Upload protein data and perform enrichment analysis based on protein datasets like SMPDB, or map proteins to corresponding genes and perform a gene set analysis.
miRNomics
Upload miRNA data and perform enrichment analysis based on miRNA categories like miRDB or miRTarBase, or map miRNAs to gene targets from popular databases and perform a gene set analysis.
Genomics new
Upload genetic variation data and conduct enrichment analyses to identify associated molecular traits.
Specialized workflows
Epigenomics
Upload any combination of DNA methylation, histone modification, open chromatin, and gene or transcript expression data and perform enrichment analyses on differentially active genes.
Single-cell
Upload single-cell RNA-Seq data and conduct enrichment analyses in combination with popular visual analytics tools like dimension reduction, clustering and pseudotime analysis.
Time series
Upload time series data and perform clustering and enrichment analysis based on gene sets derived from popular databases like GO, KEGG and Reactome.
RegulatorTrail
Upload a transcriptomic or epigenomic data to find influential regulators, that might explain gene expression differences between two sample groups.