TRANSFAC®은 eukaryotic transcription factor에 대한 가장 포괄적인 데이터베이스 입니다.

Human Mouse, Rat, Yeast, Plant에 집중한 300종의 Transcription Factor와 miRNA의 논문, 4천2백만개의 ChIP fragment database를 구축하고 있습니다. Transcription Factor Binding Sites(TFBS)의 예측이 가능하며, Transcription factor에 관한 풍부한 정보를 제공합니다. 또한 새로운 모티브 식별, 매트릭스 비교 및 miRNA 조절 인자 식별을 위한 도구를 제공하고 있습니다. 사용자의 유전자나 Promoter를 기반으로 Transcription factor binding Site를 예측하여 유전자 발현에 대한 연구 할 수 있도록 도와드립니다.

Main Features

  • Find Binding Factors for Genes and Genes Bound by Factor, based on experimental evidence
  • Predict TF binding sites or composite elements within single DNA sequences or promoters (Match and CMsearch)
  • Find de novo motifs in sequence sets with the DECOD algorithm and compare them against TRANSFAC matrices
  • Analyze microarray DEGs, ChIP-seq and RNA-seq data for over-represented TF-binding sites (FMatch/Step-by-step analysis)
    → see geneXplain platform for extended functionality • Analyze gene sets for the presence of shared miRNA target sites
  • Download binding fragments from individual ChIP experiments, in FASTA or BED format, or lists of nearest genes

TRANSFAC® Database


New Release

TRANSFAC® release 2018.2
The TRANSFAC® database on transcription factors, their genomic binding sites and DNA-binding motifs (PWMs), contains these new data features:

Performance assessment of TRANSFAC® PWMs and derived matrix recommendations
Out of the huge collection of PWMs in the TRANSFAC database, a non-redundant library was compiled comprising the best-performing DNA-binding motifs of altogether 2799 transcription factors.

The user can now choose among four new PWM profiles consisting of recommended matrices for vertebrate, plant, fungal, and insect factors to be used with MATCH (to predict transcription factor binding sites, TFBSs, in DNA sequences) or FMATCH (to identify enriched TFBSs in a set of DNA sequences).

Integration of new human ChIP-Seq experiments from ENCODE

164 new human transcription factor binding site ChIP-Seq experiments released by the ENCODE phase 3 project between October 2017 and January 2018 have been integrated. The data sets comprise 2,570,897 fragments bound by 122 distinct transcription factors, of which 68 factors were not yet covered by ChIP-Seq data.

For 76 of the sets, an existing positional weight matrix for the respective transcription factor was used together with the MATCH tool to predict altogether 1,497,691 best binding sites inside the fragments.

Predicted best binding sites as well as complete fragments are available in FASTA and BED format via the ChIP Experiment Reports, as are lists of genes in a distance range to the fragments as specified by the user.

Addition of public human ChIP-Seq experiments from other sources

1,757 human ChIP-Seq data sets published in GEO and ArrayExpress and re-analyzed by the ReMap 2018 project have been incorporated. The experiments involve 48,509,720 fragments bound by 342 distinct transcription factors, including 190 without previous ChIP-Seq data set in the database. The peaks were taken from the “all peaks” catalog, allowing to preserve the cell specificity of the original experiments.

Ensembl version update
Genomic information for genes, promoters, and ChIP fragments for the species human, mouse, rat, macaque, and Arabidopsis is now based on Ensembl release 91.