Unlock the Power of Free Gene-regulation.com
Ready to explore the fundamental drivers of gene expression?
In this webinar, we will show you how to launch your research journey at gene-regulation.com using the free access to TRANSFAC®, the renowned database for transcription factors and their binding sites.
Discover how to tap into rich regulatory information and set the foundation for groundbreaking insights in genomics, transcriptomics, and systems biology.
Start Your Gene Regulation Journey
What You Will Learn
Why You Should Attend
gene-regulation.com provides free access to essential gene regulation data that can accelerate your research.
Understanding how genes are regulated is fundamental to advancing fields like cancer biology and developmental studies.
In this webinar, you will learn how to leverage powerful tools such as Match, P-Match, and CMA within the free TRANSFAC® platform to identify transcription factor binding sites regulating genes of interest.
And if you’re already thinking, “What’s next?” — we’ve got you covered. Get an exclusive look at how you can advance your research even further by uncovering master regulators and drug targets with the full professional power of TRANSFAC®.
Who Should Attend
Free TRANSFAC public (gene-regulation.com):
Solving Real Research Pains
Tool / Section
MATCH™
How Free TRANSFAC Helps
Predict TFBS motifs in your sequence
How Professional TRANSFAC Helps
Access to full PWM library (>10,000 matrices), covering all major TF families and conditions → higher accuracy and fewer false negatives
Tool / Section
F-MATCH™, CMA (Composite Module Analyst)
How Free TRANSFAC Helps
Analyze shared TF motifs across promoters using F-MATCH and CMA
How Professional TRANSFAC Helps
Perform true enrichment analysis with statistical scoring and promoter library customization for any organism
Tool / Section
MATCH™ + Matrix Browser
How Free TRANSFAC Helps
Simple demo of TF motif scanning
How Professional TRANSFAC Helps
Use advanced tools like Upstream Analysis, network reconstruction, and tissue-specific promoter analysis in teaching and research
Tool / Section
MATCH™
How Free TRANSFAC Helps
Manually scan sequences one by one
How Professional TRANSFAC Helps
Can perform batch analysis, cross-species promoter comparisons
Tool / Section
MATCH™
How Free TRANSFAC Helps
Find predicted motif locations
How Professional TRANSFAC Helps
Prioritize biologically relevant sites using ChIP-seq support and binding affinity scores from ML-based approach
Tool / Section
Matrix Browser
How Free TRANSFAC Helps
View matrix information and consensus sequence
How Professional TRANSFAC Helps
Access experimentally supported matrices with detailed binding context (e.g., cell type, condition, tissue)
Tool / Section
P-Match
How Free TRANSFAC Helps
Use P-Match for combined scoring
How Professional TRANSFAC Helps
Tune search with custom thresholds, apply to entire gene sets, and integrate into graphical workflows
Tool / Section
MATCH™, AliBaba2
How Free TRANSFAC Helps
AliBaba2 allows fuzzy motif matching
How Professional TRANSFAC Helps
Use modern, AI-assisted scanning with context-aware scoring, multi-matrix matching, and support for enhancers
Tool / Section
MATCH™ + manual input
How Free TRANSFAC Helps
Manual MATCH™ input one-by-one
How Professional TRANSFAC Helps
Fully integrated into graphical workflows for multiple input
How Free TRANSFAC Helps
Not supported in free version
How Professional TRANSFAC Helps
Run Upstream Analysis: connects TFBS to signaling cascades and identifies key master regulators with biological causality
What to expect – and what not to expect – from TRANSFAC Free (Public)
Compared to Pro version
| 9003241321130565_29fa9d-89> |
TRANSFAC free (public) 9003241321130565_ea5118-14> |
TRANSFAC professional (2024.2) 9003241321130565_b73aea-ce> |
|
Data 9003241321130565_19d185-c9> | 9003241321130565_2a1b3b-09> | 9003241321130565_533862-5f> |
|
Factors 9003241321130565_5ae5c4-cf> |
6,133 9003241321130565_aa8d90-e1> |
49,372 9003241321130565_f6e563-6d> |
|
miRNAs 9003241321130565_6b7cef-1b> |
n/a 9003241321130565_a8ac00-da> |
1,772 9003241321130565_3b4d59-13> |
|
DNA sites 9003241321130565_e910d7-01> |
7,195 9003241321130565_5d923a-40> |
50,891 9003241321130565_eee456-a1> |
|
mRNA sites 9003241321130565_b2d112-6e> |
n/a 9003241321130565_732008-97> |
67,700 9003241321130565_85b85d-d5> |
|
Factor-DNA site links 9003241321130565_63a97f-9a> |
Yes 9003241321130565_1c4791-65> |
68,898 9003241321130565_142328-21> |
|
miRNA-mRNA site links 9003241321130565_954bfe-1d> |
n/a 9003241321130565_13bee2-aa> |
74,550 9003241321130565_e548e6-56> |
|
Genes 9003241321130565_a5138b-02> |
2,397 9003241321130565_1be299-e6> |
103,765 9003241321130565_0da79c-4f> |
|
ChIP-Seq fragments 9003241321130565_dca67f-7b> |
n/a 9003241321130565_b7ff04-2e> |
112,344,359 9003241321130565_a11214-f2> |
|
Matrices 9003241321130565_6c192f-35> |
398 9003241321130565_dfd02e-e6> |
11,124 9003241321130565_7e0df3-a4> |
|
References 9003241321130565_ad38ad-58> |
Yes 9003241321130565_5e6601-6e> |
45,665 9003241321130565_0b61a6-07> |
|
Promoter sequences 9003241321130565_fddf61-8c> |
n/a 9003241321130565_4c84a0-94> |
465,413 9003241321130565_b3a1d8-55> |
|
Enhancer / silencer sequences 9003241321130565_121de0-20> |
n/a 9003241321130565_c87fc3-cc> |
231,413 9003241321130565_d0be49-6d> |
|
Search Options 9003241321130565_cb4b7f-c6> | 9003241321130565_b96357-90> | 9003241321130565_1d07d3-64> |
|
Use of Boolean operators / advanced filtering 9003241321130565_ef429e-a9> |
No 9003241321130565_c4291b-08> |
Yes 9003241321130565_3929a2-9e> |
|
Ontology search 9003241321130565_6a6c64-e2> |
No 9003241321130565_9d797a-90> |
Yes 9003241321130565_2b0da2-1e> |
|
Customizable / exportable search results 9003241321130565_91cba6-ae> |
No 9003241321130565_35a0c1-41> |
Yes 9003241321130565_1da3ae-62> |
|
Export in FASTA and BED format 9003241321130565_27a4eb-0d> |
No 9003241321130565_148473-d6> |
Yes 9003241321130565_4479ec-69> |
|
Analysis Capabilities 9003241321130565_9a1e40-89> | 9003241321130565_66acba-ef> | 9003241321130565_e93789-cc> |
|
MATCH Suite: toolbox to analyze syntax and semantics of gene regulation 9003241321130565_582b88-c4> |
No 9003241321130565_3a9923-f5> |
Yes 9003241321130565_6d50c8-6a> |
|
Analysis workflows for ChIP-Seq and RNA-Seq data 9003241321130565_6965ab-b6> |
No 9003241321130565_024e1d-ad> |
Yes 9003241321130565_d1614a-0f> |
|
Identify shared functional attributes 9003241321130565_8d15ad-82> |
No 9003241321130565_729337-83> |
Yes 9003241321130565_bc4728-36> |
|
Data Download 9003241321130565_01444a-76> | 9003241321130565_097cf5-2e> | 9003241321130565_59b050-fd> |
|
Flat file and JSON format data files 9003241321130565_deeb83-56> |
No 9003241321130565_04f1c5-3a> |
Yes 9003241321130565_dbd3eb-6f> |
Usage of TRANSFAC FRE (Public)
Best for:
Not ideal for:
