Unlock the Potential of TRANSFAC:
Advantages and Solutions for Your Research and Precision Medicine Goals
MOTIFS AND PREDICTION OF TF-BINDING SITES
Use the most comprehensive library of known eukaryotic transcription factor binding motifs
TRANSFAC systematically collects all available TF-binding motifs in the form of Positional Weight Matrices (PWMs) from scientific literature and repositories, as well as PWMs constructed by the TRANSFAC team on the basis of experimentally verified TF binding sites. Currently TRANSFAC provides more than 10,000 PWMs for various eukaryotic taxonomic groups. Our goal is to provide the most comprehensive resource of TF binding motifs for researchers world-wide
Identify common motifs in a set of target DNA sequences
Determine common motifs and compare these de-novo motifs to known transcription factor DNA binding site consensus sequences present in the TRANSFAC database
Detect genomic variants affecting TF-binding sites
Analyze mutations from your NGS data in regulatory regions for their potential negative or positive effect on transcription factor binding
Predict TF-binding sites in eukaryotic DNA sequences
Our tools predict transcription factor (TF) binding sites and composite regulatory regions using Machine Learning (ML) and Artificial Intelligence (AI)
PROMOTERS AND ENHANCERS
The unrivaled resource for studying promoters and enhancers
Due to its comprehensive data on transcription factors and their binding sites, tools for motif analysis, support for cross-species comparisons and functional annotations, TRANSFAC is an indispensable resource for studying promoters and enhancers
Find known transcriptional regulators for your gene(s) of interest
Search for factor-gene interactions in TRANSFAC, the largest collection of published experimentally proven transcription factor binding sites
Explore factor-factor interactions and composite elements
Complement the unparalleled collection of factor-gene interactions with factor-factor interactions and synergistic and antagonistic composite elements
Predict target genes
Find target genes for a transcription factor of interest by studying from single gene promoters to whole genomes
Analyze genes for tissue- and GO-specific transcription factors
Select tissue- / cell type- / induction-specific transcription factors for genes from human and model organisms
PATHWAYS AND MASTER REGULATORS
Identify pathways up- and down-stream of a gene (set)
Explore activation patterns of genes in tissues and cells of your interest and build complex interaction networks based on individual reactions with experimental details, protein-protein interactions (PPIs) and post-translational modifications (PTMs) in TRANSFAC PATHWAYS
Map gene sets on pathways
Draw insights on biological function of your gene set by mapping them on pathways
Customize regulatory and metabolic networks
Build networks based on more than one million reactions extracted from original scientific literature and evaluated by experts.
Apply integrated network analysis and visualization
Profit from the combined approach towards causative gene regulation studies. Explore activation patterns of genes in tissues and cells of your interest and build complex interaction networks with identified master regulators
MULTI-OMICS
Easily process and integrate all your omics data with TRANSFAC PATHWAYS / DISEASES
Preprocess, functionally explore, and unite various omics data (genomics, transcriptomics, metabolomics, proteomics and epigenomics) in a fully automized pipeline and get a combined and integrated report
Find common functional properties in a set of (co-regulated) genes
Map your data on various ontologies and identify overrepresented functional assignments in your gene set
Compare and functionally align your data
Observe how your omics data sets (genomics, transcriptomics, proteomics, epigenomics or metabolomics) correlate between each other
Utilize upstream analysis
Benefit from our unique upstream analysis approach combining promoter and pathway analysis to identify transcription factors and upstream master regulators (as potential drug targets) which can explain expression changes of your DEGs (or other changes in gene or protein signatures)
BIOMARKERS, DRUGS AND COMPOUNDS
Discover disease molecular mechanisms
Make use of the vast amount of gene-disease and gene-drug assignments and identify novel biomarkers and drug targets
Reconstruct disease molecular mechanism
Understand the drug’s mechanism of action (MoA) based on the collected omics data
Trace back the activated pathways
Detect disease master regulators, responsible for governing the pathology development processes, and therapeutic targets
PRECISION MEDICINE
Employ personalized medicine with TRANSFAC DISEASES
With our fully automated pipeline for patient’s multi-omics data analysis TRANSFAC DISEASES generates a comprehensive report about the personalized drug targets identified for a certain patient, or a group of patients, and the potentially effective drugs. Application examples include cancer, neurodegenerative diseases, infectious diseases, diabetes, metabolic diseases and hypertension
Repurpose drugs
Explore how known drug targets can be activated in various pathologies. Check out the possible off-label usage of treatments and identify prospective drug combinations for better patient outcomes
Find new drug candidates
Identify novel drug targets and find prospective drug-like compounds potentially acting on them by using integrated promoter, pathway and cheminformatics analysis
Develop a personalized therapy
Identify individual drug targets and corresponding treatments based on the pathology molecular mechanism reconstructed on omics data collected from a particular patient
GENERAL
Inbuilt workflows
Make use of over 200 pre-compiled workflows
Customizable pipelines
Construct your own dedicated analysis pipeline with visual programming
Application Programming Interface (API)
Use Java-based API, R-based API or Jupiter notebook
Integrated Genome Browser
Get your result in tabular format as well as in the integrated genome browser
Pathway/Network visualization
Visualize canonical pathways and analysis-dependent networks
Comprehensive analysis reports
Profit from automatically generated analysis reports including network visualizations, functional annotation diagrams and more