TRANSFAC 2.0
Master the regulation of genes, pathways and diseases
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WHAT MAKES TRANSFAC 2.0 STAND OUT?
TRANSFAC BASIC
Most Comprehensive Database
TRANSFAC stands as the pioneering and most comprehensive database on eukaryotic transcription factors, their genomic binding sites, and DNA binding profiles.
35 years of curation and maintenance
Once established over 35 years ago, TRANSFAC has been diligently maintained and manually curated ever since.
Tens of millions of genomic binding sites
TRANSFAC contains the biggest collection of tens of millions of TF binding sites in genomes of eukaryotic organisms curated from original publication and high-throughput experiments.
Over 10,000 DNA binding patterns
The biggest library of over 10,000 DNA binding patterns in the format of positional weight matrices (PWMs) is derived from this rich data.
MATCH suite: Powerful AI-supported tools for scanning genomes for TFBS enrichment
MATCH suite provides easy web GUI and gives powerful tools for scanning genomes for TF binding sites and for discovering site enrichment and site combinatorial modules using AI and machine learning.
TRANSFAC PATHWAYS
TRANSPATH: Signal transduction network of more than 1.200.000 reactions
TFs are connected to a network of more than one million two hundreds of signal transduction and metabolic reactions extracted from original scientific literature and evaluated by experts.
PathFinder: SBGN empowered pathway and network visualization
PathFinder provides powerful tools for visualization, exploration and modeling of pathways and networks using systems biology graphic notation (SBGN) standards.
Unique algorithm to find master-regulators
Master-regulators are discovered by the “upstream analysis” that integrates uniquely promoter and pathway analysis using graph search and genetic algorithms.
TRANSFAC DISEASES
HumanPSD: Biggest collection of more than 140.000 disease biomarkers
Manually curated collection of more than 140.000 gene to disease associations as correlative, casual and disease mechanisms biomarkers and drug targets.
Reconstruction of disease molecular mechanisms based on the upstream analysis
Combining upstream analysis approach and disease and pathway information allows to reconstruct disease mechanisms and find novel drug targets.
Genome Enhancer: Automatic multi-omics analysis pipeline with easy web GUI
Genome Enhancer provides an automatic pipeline for processing of multi-omics raw disease sample data identifies prospective drug targets and prioritizes treatments potentially effective in clinic.
No bioinformatics skills needed
What Sets TRANSFAC Apart?
Widely accepted gold standard of transcriptional regulation
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