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Protocols

TFactS specifications

Information


Unique identifier OMICS_11986
Name TFactS
Software type Application/Script
Interface Web user interface
Restrictions to use None
Input data Some up-regulated official gene names or Entrez gene IDs.
Programming languages Javascript, Perl, PHP, R
Database management system MySQL
Computer skills Basic
Stability Stable
Maintained Yes

Taxon


  • Primates
    • Homo sapiens

Maintainer


  • person_outline Jean-Baptiste Demoulin

Publications for TFactS

TFactS citations

 (21)
library_books

Matrix stiffness controls lymphatic vessel formation through regulation of a GATA2 dependent transcriptional program

2018
Nat Commun
PMCID: 5904183
PMID: 29666442
DOI: 10.1038/s41467-018-03959-6

[…] 162 regulated transcription factors (tfs) of which the potential core tfs controlling lec response to matrix stiffness were predicted based on up- and downregulated genes with the online resource tfacts (supplementary data ). these included the mechanosensitive gata2 transcription factor that was previously shown to regulate the lec response to shear stress,, and respond to ecm-derived […]

library_books

1,8 cineole prevents UVB induced skin carcinogenesis by targeting the aryl hydrocarbon receptor

2017
Oncotarget
PMCID: 5739696
PMID: 29285309
DOI: 10.18632/oncotarget.22519

[…] regulated by 1,8-cineole treatment, we conducted a transcriptome analysis using an mrna microarray in hacat cells (uvb-only treated vs. uvb + 1,8-cineole-treated group). a bioinformatics tool, tfacts [] predicted that nf- κb (p = 0.00028) and stat1 (p = 0.0016) were transcription factors that could be regulated by 1,8-cineole in hacat cells (data not shown). however, further investigation […]

library_books

Analysis of microRNA (miRNA) expression profiles reveals 11 key biomarkers associated with non small cell lung cancer

2017
PMCID: 5606074
PMID: 28927412
DOI: 10.1186/s12957-017-1244-y

[…] p values (p < 0.05) and then visualized as a heatmap. clustering of the heatmap was according to pearson correlation and average linkage., the key up- and downregulated mirnas were uploaded to tfacts database (http://www.tfacts.org/) [, ]. the transcription factors were predicted by p value, q value, e value, and fdr (each value is less than 0.05). the transcription factors regulated […]

library_books

Signalome wide assessment of host cell response to hepatitis C virus

2017
Nat Commun
PMCID: 5424167
PMID: 28480889
DOI: 10.1038/ncomms15158

[…] set from a published transcriptomics study performed by oligonucleotide microarray at early time points post-infection with hcv (6, 12 and 24 h). we analysed the data sets from this report using tfacts, a program designed to predict which transcription factors are activated or inhibited based on the expression of their target genes in a microarray data set. the output of the tfacts analysis […]

library_books

Identification of four potential predicting miRNA biomarkers for multiple myeloma from published datasets

2017
PeerJ
PMCID: 5289111
PMID: 28168095
DOI: 10.7717/peerj.2831

[…] in multiple myeloma. then, the target genes for key mirnas were predicted by the software targetscan. additionally, functional enrichments and binding tfs were investigated by david database and tfacts database, respectively., firstly, comparing the normal tissues, 13 mirnas were differently expressed mirnas (dems) for at least three datasets. they were considered as key mirnas, with 12 […]

library_books

Identification of BCL11B as a regulator of adipogenesis

2016
Sci Rep
PMCID: 5010073
PMID: 27586877
DOI: 10.1038/srep32750

[…] evaluated, and they were ranked using the weighted average difference (wad) gene ranking method. which genes ranked in the top 100 (50 increased genes and 50 decreased genes) was determined using tfacts program to estimate which transcription factors experienced changes in their activities in bcl11b−/− mefs. the data discussed in this publication have been deposited in ncbi’s gene expression […]


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TFactS institution(s)
de Duve Institute, Université Catholique de Louvain, Brussels, Belgium; Division of Hematology, Cliniques Universitaires Saint-Luc, Brussels, Belgium; Bioinformatique des Génomes et des Réseaux (BIGRe), Université Libre de Bruxelles, Brussels, Belgium
TFactS funding source(s)
Région Wallonne de Belgique TransMaze project (415925 linked to 516207); ‘Bourse d’Excellence IN.WBI’ from Wallonie-Bruxelles International, Belgium.

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