GeneTrail 3.2
Advanced high-throughput enrichment analysis
![GeneTrail](images/logos/GeneTrail2.png)
Standard workflows
![Generic placeholder image](/images/gene.png)
Transcriptomics
Upload gene expression data and perform enrichment analysis based on gene sets derived from popular databases like GO, KEGG and Reactome.
![Generic placeholder image](/images/protein.png)
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.
![Generic placeholder image](/images/mirna.png)
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.
![Generic placeholder image](/images/snp.png)
Genomics new
Upload genetic variation data and conduct enrichment analyses to identify associated molecular traits.
Specialized workflows
![Generic placeholder image](/images/4ZUX.png)
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.
![Generic placeholder image](/images/SingleCell.png)
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.
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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.
![Generic placeholder image](/images/5CRK.png)
RegulatorTrail
Upload a transcriptomic or epigenomic data to find influential regulators, that might explain gene expression differences between two sample groups.