TRANSFAC versus JASPAR

Database statistics

Factors –  48,258

Factor-Factor Interactions-  48,909

DNA Sites – 50,892

Factor-DNA Site Links –  68,900

Genes – 102,973

Matrices – 10,706

References –  45,130

– No DNA Sites 

-2,000 profiles (Matrices)  in JASPAR core (2024 release)

Database statistics (miRNA)

miRNAs –  1,772

mRNA Sites- 67,703

miRNA-mRNA Site Links – 74,553

No miRNA data

Database statistics
(Chip-Seq)

Distinct transcription factors in Chip-seq experiment : 1,171

Target genes: 39,990

TF-TG associations : 15,639,406

ChIP TFBS : 95,867,624

No Chip-seq data.

Data Depth

Genome annotation of experimentally validated TF binding sites
Genome annotation of best computationally predicted transcription factor binding sites (TFBS) in ChIP-seq peaks.

Genome annotation of enhancers, genome conserved regions.

Limited to binding motifs

Data Quality

Combines public and proprietary datasets, enhancing dataset completeness.

Restricted only to open-access data.

Data Integration

Links TF binding site data with additional omics data, including epigenetic modifications and expression profiles.

Supports multi-layered analyses that combine DNA-protein interactions and gene expression.

Focuses on TF motifs and provides limited integration with other datasets.

Integrated Pathway Analysis

Supports integrated promoter and pathway analysis allowing to identify Master Regulators of the studied processes, which in their turn can serve as prospective disease mechanism-based biomarkers and drug targets

Limited exclusively to promoter analysis with no further pathway analysis extensions supported

Additional tools

Offers tools like MATCHâ„¢ for TFBS prediction and analysis., Click and Run pipelines integrating TRANSFAC for identifying enriched binding sites, composite modules, combinatorial analysis

No own tools. Linked to third-party tools for motif scanning and sequence analysis

AI-based extensions

Includes AI and ML based methods for prediction of  TFBS combinations, including construction of composite modules based on a genetic

Limited to standard approached towards motif scanning and sequence analysis

Clinical Relevance

Annotated for disease-related transcription factors and binding sites. In addition to biomarker info, includes annotations for drug-disease-clinical trials relations

Minimal disease annotations

Species

Includes data on multiple species of vertebrates, nematodes, yeast, insects, plants.  TRANSFAC is integrated with geneXplain platform and provides flexibility to integrate new custom genomes and identify transcription factor binding sites

Includes TF binding motifs for six organism classes. Integration of new custom genomes is not provided

Customer Support

Regular updates, Prompt customer support with technical assistance by experts in the industry

Open-source platform, assistance through documentation

Accessibility

Flexible, affordable and customized packages available to access total TRANSFAC functionality

Freely accessible for academic and non-commercial research