Suppr超能文献

YEASTRACT发现者:用于改进酿酒酵母转录调控关联分析的新工具。

YEASTRACT-DISCOVERER: new tools to improve the analysis of transcriptional regulatory associations in Saccharomyces cerevisiae.

作者信息

Monteiro Pedro T, Mendes Nuno D, Teixeira Miguel C, d'Orey Sofia, Tenreiro Sandra, Mira Nuno P, Pais Hélio, Francisco Alexandre P, Carvalho Alexandra M, Lourenço Artur B, Sá-Correia Isabel, Oliveira Arlindo L, Freitas Ana T

机构信息

INESC-ID, Knowledge Discovery and Bioinformatics Group, R. Alves Redol, 9, 1000-029 Lisbon, Portugal.

出版信息

Nucleic Acids Res. 2008 Jan;36(Database issue):D132-6. doi: 10.1093/nar/gkm976. Epub 2007 Nov 21.

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.

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bc18/2238916/058fd31094fc/gkm976f1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验