Chose your transfac package
Maximize your potential with the gold standard of transcriptional regulation
TRANSFAC Basic
The basic version of TRANSFAC includes the core functionality of this renowned manually curated database of eukaryotic transcription factors, their genomic binding sites and DNA-binding profiles.
Predict transcription factor binding sites and their combinations on a genomic scale
using the biggest collection of positional weight matrices (over 10,000) with in-built Machine Learning and Artificial Intelligence methods.
Access the biggest knowledge base on transcription factors
their experimentally characterized binding sites and ChIP experiments, as well as genes regulated by them, their promoters, enhancers and silencers.
Enjoy the full range of abilities for promoter analysis addressing the needs of users with various backgrounds
from customized analysis pipelines intended for core bioinformaticians to fully automatized no-coding solutions for bench biologists and biomedical researchers.
Perform your multi-omics data analysis in the geneXplain platform
integrated with TRANSFAC subscription (flexible workspace sizes are available).
What you will get
Further info
TRANSFAC Pathways
TRANSFAC pathways fully includes all features of TRANSFAC basic together with a variety of advantageous functions brought by the TRANSPATH database of mammalian signal transduction and metabolic pathways and HumanPSD database of gene-drug-disease assignments.
Predict potential pathways targeting the genes of your interest.
Build customized regulatory and metabolic networks
with more than one million reactions extracted from original scientific literature and evaluated by experts.
Apply integrated pathway visualization and modification tool
Perform Upstream analysis
integrated promoter and pathway analysis for identification of prospective drug targets and biomarkers (available within the geneXplain platform integrated with TRANSFAC pathways subscription).
What you will get
Further info
TRANSFAC diseases
TRANSFAC diseases fully includes all features of TRANSFAC pathways, but in addition to that it provides access to the unique Genome Enhancer pipeline for identification of prospective drug targets and associated treatments based on the patient multi-omics data analysis.
Automatically process multi-omics raw patient data and identify prospective drug targets and treatments predicted to be effective for the studied clinical case.
Full reconstruction of disease molecular mechanisms based on the integrated promoter and pathway analysis.
No bioinformatics skills needed
run complicated omics data processing pipelines from just several clicks in a user-friendly interface.
What you will get
Further info
Chose your transfac package
Maximize your potential with the gold standard of transcriptional regulation
Features
transfac
basic
TRANSFAC
Pathway
Transfac
desease
Biggest collection of transcription factors, their DNA binding models, and genes bound by them
Prediction of TFBS in eukaryotic species, with a focus on human, mouse, rat, yeast, and plants, using portal interface
Prediction of human TFBS using classic Match and MATCH Suite tools
Advanced tools for prediction of TFBS and their combinations on genomic scale using Machine Learning and AI methods
Over 200 pipelines and tools for bioinformatics analysis and modeling of NGS, RNA-seq, epigenomics, proteomics, and metabolomics data
Application Programming Interface (API) including Java-based API, R-based API, Jupiter notebook
Signal transduction and metabolic pathways, individual reactions with experimental details, protein-protein interactions (PPIs) and post-translational modifications (PTMs)
Integrated pathway visualization and modification tool
Gene-Disease-Drug-Clinical Trial assignments, disease biomarkers, drug targets, drug-disease approval status, functional classification tools
Upstream Analysis – integrated promoter and pathway analysis for identification of prospective drug targets and biomarkers
Disease molecular mechanism reconstruction and identification of prospective drug targets and treatments using a fully automatized pipeline for multi-omics data processing
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