Database Commons a catalog of biological databases

Database Commons - TRANSFAC

TRANSFAC

Citations: 7590

z-index 231.15

Short name TRANSFAC
Full name a database on transcription factors and their DNA binding sites
Description TRANSFAC® is a unique knowledge-base containing published data on eukaryotic transcription factors and miRNAs, their experimentally-proven binding sites, and regulated genes.
URL http://www.gene-regulation.com/pub/databases.html
Year founded 1996
Last update & version 2015-04-30    7.0
Availability Free to all users
University/Institution hosted BIOBASE GmbH
Address GmbH Halchtersche Strasse 33, D-38304 Wolfenbüttel, Germany
City Wolfenbüttel
Province/State
Country/Region Germany
Contact name Edgar Wingender
Contact email info@biobase-international.com
Data type(s)
Major organism(s)
Keyword(s)
  • ChIP-seq
  • miRNA
  • transcription factor
Publication(s)
  • The TRANSFAC project as an example of framework technology that supports the analysis of genomic regulation. [PMID: 18436575]

    Edgar Wingender
    Briefings in bioinformatics 2008:9(4)
    243 Citations (Google Scholar as of 2016-03-28)

    Abstract: Since its beginning as a data collection more than 20 years ago, the TRANSFAC project underwent an evolution to become the basis for a complex platform for the description and analysis of gene regulatory events and networks. In the following, I describe what the original concepts were, what their present status is and how they may be expected to contribute to future system biology approaches.

  • TRANSFAC and its module TRANSCompel: transcriptional gene regulation in eukaryotes. [PMID: 16381825]

    V Matys, O V Kel-Margoulis, E Fricke, I Liebich, S Land, A Barre-Dirrie, I Reuter, D Chekmenev, M Krull, K Hornischer, N Voss, P Stegmaier, B Lewicki-Potapov, H Saxel, A E Kel, E Wingender
    Nucleic acids research 2006:34(Database issue)
    1457 Citations (Google Scholar as of 2016-03-28)

    Abstract: The TRANSFAC database on transcription factors, their binding sites, nucleotide distribution matrices and regulated genes as well as the complementing database TRANSCompel on composite elements have been further enhanced on various levels. A new web interface with different search options and integrated versions of Match and Patch provides increased functionality for TRANSFAC. The list of databases which are linked to the common GENE table of TRANSFAC and TRANSCompel has been extended by: Ensembl, UniGene, EntrezGene, HumanPSD and TRANSPRO. Standard gene names from HGNC, MGI and RGD, are included for human, mouse and rat genes, respectively. With the help of InterProScan, Pfam, SMART and PROSITE domains are assigned automatically to the protein sequences of the transcription factors. TRANSCompel contains now, in addition to the COMPEL table, a separate table for detailed information on the experimental EVIDENCE on which the composite elements are based. Finally, for TRANSFAC, in respect of data growth, in particular the gain of Drosophila transcription factor binding sites (by courtesy of the Drosophila DNase I footprint database) and of Arabidopsis factors (by courtesy of DATF, Database of Arabidopsis Transcription Factors) has to be stressed. The here described public releases, TRANSFAC 7.0 and TRANSCompel 7.0, are accessible under http://www.gene-regulation.com/pub/databases.html.

  • MATCH: A tool for searching transcription factor binding sites in DNA sequences. [PMID: 12824369]

    A E Kel, E Gössling, I Reuter, E Cheremushkin, O V Kel-Margoulis, E Wingender
    Nucleic acids research 2003:31(13)
    927 Citations (Google Scholar as of 2016-03-28)

    Abstract: Match is a weight matrix-based tool for searching putative transcription factor binding sites in DNA sequences. Match is closely interconnected and distributed together with the TRANSFAC database. In particular, Match uses the matrix library collected in TRANSFAC and therefore provides the possibility to search for a great variety of different transcription factor binding sites. Several sets of optimised matrix cut-off values are built in the system to provide a variety of search modes of different stringency. The user may construct and save his/her specific user profiles which are selected subsets of matrices including default or user-defined cut-off values. Furthermore a number of tissue-specific profiles are provided that were compiled by the TRANSFAC team. A public version of the Match tool is available at: http://www.gene-regulation.com/pub/programs.html#match. The same program with a different web interface can be found at http://compel.bionet.nsc.ru/Match/Match.html. An advanced version of the tool called Match Professional is available at http://www.biobase.de.

  • TRANSFAC: transcriptional regulation, from patterns to profiles. [PMID: 12520026]

    V Matys, E Fricke, R Geffers, E Gössling, M Haubrock, R Hehl, K Hornischer, D Karas, A E Kel, O V Kel-Margoulis, D-U Kloos, S Land, B Lewicki-Potapov, H Michael, R Münch, I Reuter, S Rotert, H Saxel, M Scheer, S Thiele, E Wingender
    Nucleic acids research 2003:31(1)
    1855 Citations (Google Scholar as of 2016-08-17)

    Abstract: The TRANSFAC database on eukaryotic transcriptional regulation, comprising data on transcription factors, their target genes and regulatory binding sites, has been extended and further developed, both in number of entries and in the scope and structure of the collected data. Structured fields for expression patterns have been introduced for transcription factors from human and mouse, using the CYTOMER database on anatomical structures and developmental stages. The functionality of Match, a tool for matrix-based search of transcription factor binding sites, has been enhanced. For instance, the program now comes along with a number of tissue-(or state-)specific profiles and new profiles can be created and modified with Match Profiler. The GENE table was extended and gained in importance, containing amongst others links to LocusLink, RefSeq and OMIM now. Further, (direct) links between factor and target gene on one hand and between gene and encoded factor on the other hand were introduced. The TRANSFAC public release is available at http://www.gene-regulation.com. For yeast an additional release including the latest data was made available separately as TRANSFAC Saccharomyces Module (TSM) at http://transfac.gbf.de. For CYTOMER free download versions are available at http://www.biobase.de:8080/index.html.

  • The TRANSFAC system on gene expression regulation. [PMID: 11125113]

    E Wingender, X Chen, E Fricke, R Geffers, R Hehl, I Liebich, M Krull, V Matys, H Michael, R Ohnhäuser, M Prüss, F Schacherer, S Thiele, S Urbach
    Nucleic acids research 2001:29(1)
    727 Citations (Google Scholar as of 2016-08-17)

    Abstract: The TRANSFAC database on transcription factors and their DNA-binding sites and profiles (http://www.gene-regulation.de/) has been quantitatively extended and supplemented by a number of modules. These modules give information about pathologically relevant mutations in regulatory regions and transcription factor genes (PathoDB), scaffold/matrix attached regions (S/MARt DB), signal transduction (TRANSPATH) and gene expression sources (CYTOMER). Altogether, these distinct database modules constitute the TRANSFAC system. They are accompanied by a number of program routines for identifying potential transcription factor binding sites or for localizing individual components in the regulatory network of a cell.

  • TRANSFAC: an integrated system for gene expression regulation. [PMID: 10592259]

    E Wingender, X Chen, R Hehl, H Karas, I Liebich, V Matys, T Meinhardt, M Prüss, I Reuter, F Schacherer
    Nucleic acids research 2000:28(1)
    1188 Citations (Google Scholar as of 2016-08-17)

    Abstract: TRANSFAC is a database on transcription factors, their genomic binding sites and DNA-binding profiles (http://transfac.gbf.de/TRANSFAC/). Its content has been enhanced, in particular by information about training sequences used for the construction of nucleotide matrices as well as by data on plant sites and factors. Moreover, TRANSFAC has been extended by two new modules: PathoDB provides data on pathologically relevant mutations in regulatory regions and transcription factor genes, whereas S/MARt DB compiles features of scaffold/matrix attached regions (S/MARs) and the proteins binding to them. Additionally, the databases TRANSPATH, about signal transduction, and CYTOMER, about organs and cell types, have been extended and are increasingly integrated with the TRANSFAC data sources.

  • Expanding the TRANSFAC database towards an expert system of regulatory molecular mechanisms. [PMID: 9847216]

    T Heinemeyer, X Chen, H Karas, A E Kel, O V Kel, I Liebich, T Meinhardt, I Reuter, F Schacherer, E Wingender
    Nucleic acids research 1999:27(1)
    347 Citations (Google Scholar as of 2016-03-28)

    Abstract: TRANSFAC is a database on transcription factors, their genomic binding sites and DNA-binding profiles. In addition to being updated and extended by new features, it has been complemented now by a series of additional database modules. Among them, modules which provide data about signal transduction pathways (TRANSPATH) or about cell types/organs/developmental stages (CYTOMER) are available as well as an updated version of the previously described COMPEL database. The databases are available on the WWW at http://transfac.gbf.de/

  • TRANSFAC: a database on transcription factors and their DNA binding sites. [PMID: 8594589]

    E Wingender, P Dietze, H Karas, R Knüppel
    Nucleic acids research 1996:24(1)
    846 Citations (Google Scholar as of 2016-03-28)

    Abstract: TRANSFAC is a database about eukaryotic transcription regulating DNA sequence elements and the transcription factors binding to and acting through them. This report summarizes the present status of this database and accompanying retrieval tools.

Community reviews

Data
quality & quantity
Content organization & presentation
System accessibility & reliability
Reviewed by

Word cloud (embeddable)

Database Commons - Word Cloud

Accessibility

Rate of accessibility:
HTTP status codeDate requested
200 OK2018-11-16
200 OK2018-11-13
200 OK2018-11-09
200 OK2018-11-06
200 OK2018-11-02
200 OK2018-10-30
200 OK2018-10-26
200 OK2018-10-23
200 OK2018-10-19
200 OK2018-10-16
200 OK2018-10-12
200 OK2018-10-09
200 OK2018-10-05
200 OK2018-10-02
200 OK2018-09-28
200 OK2018-09-25
200 OK2018-09-21
200 OK2018-09-18
200 OK2018-09-14
200 OK2018-09-11
200 OK2018-09-07
200 OK2018-09-04
200 OK2018-08-31
200 OK2018-08-28
200 OK2018-08-24
200 OK2018-08-21
200 OK2018-08-17
200 OK2018-08-14
200 OK2018-08-10
200 OK2018-08-07
200 OK2018-08-03
200 OK2018-07-31
200 OK2018-07-27
200 OK2018-07-24
200 OK2018-07-20
200 OK2018-07-17
200 OK2018-07-13
200 OK2018-07-10
200 OK2018-07-06
200 OK2018-07-03
200 OK2018-06-29
200 OK2018-06-26
200 OK2018-06-22
200 OK2018-06-19
200 OK2018-06-15
200 OK2018-06-12
200 OK2018-06-08
200 OK2018-06-05
200 OK2018-06-01
200 OK2018-05-29
200 OK2018-05-25
200 OK2018-05-22
200 OK2018-05-18
200 OK2018-05-15
200 OK2018-05-11
200 OK2018-05-08
200 OK2018-05-04
200 OK2018-05-01
200 OK2018-04-27
200 OK2018-04-24
200 OK2018-04-20
200 OK2018-04-17
200 OK2018-04-13
200 OK2018-04-10
200 OK2018-04-06
200 OK2018-04-03
200 OK2018-02-27
200 OK2018-02-23
200 OK2018-02-20
200 OK2018-02-16
200 OK2018-02-13
200 OK2018-02-09
200 OK2018-02-06
200 OK2018-02-02
200 OK2018-01-30
200 OK2018-01-26
200 OK2018-01-23
200 OK2018-01-19
200 OK2018-01-16
200 OK2018-01-12
200 OK2018-01-09
200 OK2018-01-05
200 OK2018-01-02
200 OK2017-12-29
200 OK2017-12-26
200 OK2017-12-22
200 OK2017-12-19
200 OK2017-12-15
200 OK2017-12-12
200 OK2017-12-08
200 OK2017-12-05
200 OK2017-12-01
200 OK2017-11-28
200 OK2017-11-24
200 OK2017-11-21
200 OK2017-11-17
200 OK2017-11-14
200 OK2017-11-10
200 OK2017-11-07
200 OK2017-11-03
200 OK2017-10-31
200 OK2017-10-27
200 OK2017-10-24
200 OK2017-10-20
200 OK2017-10-17
200 OK2017-10-13
200 OK2017-10-10
200 OK2017-10-06
200 OK2017-10-03
200 OK2017-09-29
200 OK2017-09-26
200 OK2017-09-22
200 OK2017-09-19
200 OK2017-09-15
200 OK2017-09-12
200 OK2017-09-08
200 OK2017-09-05
200 OK2017-09-01
200 OK2017-08-29
200 OK2017-08-25
200 OK2017-08-22
200 OK2017-08-18
200 OK2017-08-15
200 OK2017-08-11
200 OK2017-08-08
200 OK2017-08-04
200 OK2017-08-01
200 OK2017-07-28
200 OK2017-07-25
200 OK2017-07-21
200 OK2017-07-18
200 OK2017-07-14
200 OK2017-07-04
200 OK2017-06-30
200 OK2017-06-27
200 OK2017-06-23
200 OK2017-06-20
200 OK2017-06-16
200 OK2017-06-13
200 OK2017-06-09
200 OK2017-06-06
200 OK2017-06-02
200 OK2017-05-30
200 OK2017-05-26
200 OK2017-05-23
200 OK2017-05-19
200 OK2017-05-16
200 OK2017-05-12
200 OK2017-05-09
200 OK2017-05-05
200 OK2017-05-02
200 OK2017-04-28
200 OK2017-04-25
200 OK2017-04-21
200 OK2017-04-18
200 OK2017-04-14
200 OK2017-04-11
200 OK2017-04-07
200 OK2017-04-04
200 OK2017-03-31
200 OK2017-03-28
200 OK2017-03-24
200 OK2017-03-21
200 OK2017-03-17
200 OK2017-03-14
200 OK2017-03-10
200 OK2017-03-07
200 OK2017-03-03
200 OK2017-02-28
200 OK2017-02-24
200 OK2017-02-21
200 OK2017-02-17
200 OK2017-02-14
200 OK2017-02-10
200 OK2017-02-07
200 OK2017-02-03
200 OK2017-01-31
200 OK2017-01-27
200 OK2017-01-24
200 OK2017-01-20
200 OK2017-01-17
200 OK2017-01-13
200 OK2017-01-10
200 OK2017-01-06
200 OK2017-01-03
200 OK2016-12-30
200 OK2016-12-27
200 OK2016-12-23
200 OK2016-12-20
200 OK2016-12-16
200 OK2016-12-13
200 OK2016-12-09
200 OK2016-12-06
200 OK2016-12-02
200 OK2016-11-29
200 OK2016-11-25
200 OK2016-11-22
200 OK2016-11-18
200 OK2016-11-15
200 OK2016-11-11
200 OK2016-11-08
200 OK2016-11-04
200 OK2016-11-01
200 OK2016-10-28
-1 Failed2016-10-25
200 OK2016-10-21
200 OK2016-10-18
200 OK2016-10-14
-1 Failed2016-10-11
-1 Failed2016-10-07
-1 Failed2016-10-04
-1 Failed2016-09-30
-1 Failed2016-09-27
-1 Failed2016-09-23
-1 Failed2016-09-20
-1 Failed2016-09-16
-1 Failed2016-09-13
-1 Failed2016-09-09
-1 Failed2016-09-06
-1 Failed2016-09-02
-1 Failed2016-08-30
-1 Failed2016-08-26
-1 Failed2016-08-23
-1 Failed2016-08-19
-1 Failed2016-08-16
-1 Failed2016-08-12
-1 Failed2016-08-09
-1 Failed2016-08-05
-1 Failed2016-08-02
-1 Failed2016-07-29
-1 Failed2016-07-26
-1 Failed2016-07-22
-1 Failed2016-07-19
-1 Failed2016-07-15
-1 Failed2016-07-12
-1 Failed2016-07-08
-1 Failed2016-07-05
-1 Failed2016-07-01
-1 Failed2016-06-28
-1 Failed2016-06-24
-1 Failed2016-06-21
-1 Failed2016-06-17
-1 Failed2016-06-14
-1 Failed2016-06-10
-1 Failed2016-06-07
-1 Failed2016-06-03
-1 Failed2016-05-31
-1 Failed2016-05-27
-1 Failed2016-05-24
-1 Failed2016-05-20
-1 Failed2016-05-17
-1 Failed2016-05-13
-1 Failed2016-05-10
-1 Failed2016-05-06
-1 Failed2016-05-03
-1 Failed2016-04-29
-1 Failed2016-04-26
-1 Failed2016-04-22
-1 Failed2016-04-19
-1 Failed2016-04-15
-1 Failed2016-04-12
-1 Failed2016-04-08
-1 Failed2016-04-05
-1 Failed2016-04-01
-1 Failed2016-03-29
-1 Failed2016-03-28
-1 Failed2016-03-25
-1 Failed2016-03-23
-1 Failed2016-03-21
-1 Failed2016-03-18
-1 Failed2016-03-16
-1 Failed2016-03-14
-1 Failed2016-03-11
-1 Failed2016-03-09
-1 Failed2016-03-07
-1 Failed2016-03-04
-1 Failed2016-03-02
-1 Failed2016-02-29
-1 Failed2016-02-26
-1 Failed2016-02-24
-1 Failed2016-02-22
-1 Failed2016-02-19
-1 Failed2016-02-17
-1 Failed2016-02-15
-1 Failed2016-02-14
-1 Failed2016-02-12
-1 Failed2016-02-10
-1 Failed2016-02-08
-1 Failed2016-02-07
-1 Failed2016-02-05
-1 Failed2016-02-03
-1 Failed2016-02-01
-1 Failed2016-01-31
-1 Failed2016-01-29
-1 Failed2016-01-27
-1 Failed2016-01-25
-1 Failed2016-01-24
-1 Failed2016-01-22
-1 Failed2016-01-20
-1 Failed2016-01-18
-1 Failed2016-01-17
-1 Failed2016-01-15
-1 Failed2016-01-13
-1 Failed2016-01-11
-1 Failed2016-01-10
-1 Failed2016-01-08
-1 Failed2016-01-06
-1 Failed2016-01-04

Tags

DNA Expression Interaction and Network Protein RNA
Eukaryota
ChIP-seq miRNA transcription factor

Record metadata

  • Created on: 2015-07-17
  • Curated by:
    • Lina Ma [2016-08-17]
    • Lina Ma [2016-03-28]
    • Mengwei Li [2016-02-12]
Stats