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Search ChIP-qPCR Assay. Find the binding sites of your transcription factor by choosing your transcription factor of interest.

Search ChIP-qPCR Assay

If you have a gene of interest, typing its symbol in the second dialog box below will limit your search results. DECODE: DECipherment Of DNA Elements SABiosciences' proprietary database combines our Text Mining Application and data from the UCSC Genome Browser to compile a list of predicted binding sites for over 200 human transcription factors for every gene in the human genome. SABiosciences' Text Mining Application Our bioinformatics specialists have developed a text-mining utility, an automated data extraction system that recognizes biological entities in published papers and other public resources and then extracts the relationships between them. It relies on multiple sources of data and processes them on a large scale to support a wide variety of internal research efforts, such as identifying genes regulated by specific transcription factors. Animal Transcription factor database. UCSC Genome Browser Home. UFGI Bioinformatics.

The MAPPER Database contains putative Transcription Factor Binding Sites (TFBSs) located in the upstream sequences of genes from the human, mouse and D.melanogaster genomes.

UFGI Bioinformatics

For each transcript, the region scanned extends from 10,000bp upstream of the transcript start to 50bp downstream of the coding sequence start. Therefore, the database contains putative binding sites in the gene promoter and in the initial introns and non-coding exons. Information displayed for each putative binding site includes the transcription factor name, its position (absolute on the chromosome, or relative to the gene), the score of the prediction, and the region of the gene the site belongs to. If the selected gene has homologs in any of the other two organisms, the program optionally displays the putative TFBSs in the homologs.

Enter the MAPPER Database or log in with your MAPPER account. If you use this program for your research please cite: Marinescu, V. CircuitsDB. A database of MicroRNA / Transcription Factor Regulatory Circuits in Human and Mouse Welcome to Circuits DB, a resource devoted to the identification and analysis of mixed MicroRNA / Transcription Factor Regulatory Circuits in the Human and Mouse genomes. Promoters and 3'-UTRs are thought to control the expression of coding genes mainly in response to transcription factors (TF) and microRNAs. In particular, several methods exist to elucidate TF-related and microRNA-related regulatory networks, but comparable information is lacking to explicitly connect them. This web-site supports a study of a genome-wide transcriptional and post-transcriptional regulatory network integration, in the human and mouse genomes, based on a bioinformatic sequence-analysis work. These circuits were assembled throught a bioinformatic sequence-analysis pipeline, applied to the human and mouse genomes (Re et al., Mol Biosyst. 2009 - PMID: 19603121 and Friard et al., BMC Bioinformatics. 2010 - PMID: 20731828).