YEASTRACT-DISCOVERER: new tools to improve the analysis of transcriptional regulatory associations in Saccharomyces cerevisiae
See where this sits in the topic map →Summary AI-generated
- TL;DR
- YEASTRACT is an information system designed to support the analysis of transcriptional regulatory associations in the yeast *Saccharomyces cerevisiae*.
- Problem
- Not specified in the abstract.
- Method
- The updated platform introduces DISCOVERER, a set of computational tools to identify complex motifs over-represented in the promoter regions of co-regulated genes, grouping them into families represented by position weight matrices.
- Results
- The updated database contains over 30,990 regulatory associations between transcription factors and target genes, alongside 284 specific DNA binding sites for 108 characterized transcription factors.
- Contributions
- Not specified in the abstract.
- Limitations
- Not specified in the abstract.
- Takeaways
- The system provides computational tools to help interpret global gene expression results, supported by tutorials that demonstrate how to use all available features.
- Applications
- Researchers can automatically compare discovered motifs with known transcription factor binding sites and generate graphical depictions of transcriptional regulatory networks.
- Topics
- Bioinformatics, transcriptional regulation, gene expression, biological databases
- For industry
- Not specified in the abstract.
- Why it matters
- Not specified in the abstract.
Abstract
The Yeast search for transcriptional regulators and consensus tracking (YEASTRACT) information system (www.yeastract.com) was developed to support the analysis of transcription regulatory associations in Saccharomyces cerevisiae. Last updated in September 2007, this database contains over 30 990 regulatory associations between Transcription Factors (TFs) and target genes and includes 284 specific DNA binding sites for 108 characterized TFs. Computational tools are also provided to facilitate the exploitation of the gathered data when solving a number of biological questions, in particular the ones that involve the analysis of global gene expression results. In this new release, YEASTRACT includes DISCOVERER, a set of computational tools that can be used to identify complex motifs over-represented in the promoter regions of co-regulated genes. The motifs identified are then clustered in families, represented by a position weight matrix and are automatically compared with the known transcription factor binding sites described in YEASTRACT. Additionally, in this new release, it is possible to generate graphic depictions of transcriptional regulatory networks for documented or potential regulatory associations between TFs and target genes. The visual display of these networks of interactions is instrumental in functional studies. Tutorials are available on the system to exemplify the use of all the available tools.