Department of Bioengineering, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, 1049-001 Lisbon, Portugal.
iBB-Institute for BioEngineering and Biosciences, Av. Rovisco Pais, 1049-001 Lisbon, Portugal.
Nucleic Acids Res. 2018 Jan 4;46(D1):D348-D353. doi: 10.1093/nar/gkx842.
The YEAst Search for Transcriptional Regulators And Consensus Tracking (YEASTRACT-www.yeastract.com) information system has been, for 11 years, a key tool for the analysis and prediction of transcription regulatory associations at the gene and genomic levels in Saccharomyces cerevisiae. Since its last update in June 2017, YEASTRACT includes approximately 163000 regulatory associations between transcription factors (TF) and target genes in S. cerevisiae, based on more than 1600 bibliographic references; it also includes 247 specific DNA binding consensus recognized by 113 TFs. This release of the YEASTRACT database provides new visualization tools to visualize each regulatory network in an interactive fashion, enabling the user to select and observe subsets of the network such as: (i) considering only DNA binding evidence or both DNA binding and expression evidence; (ii) considering only either positive or negative regulatory associations; or (iii) considering only one set of related environmental conditions. A further tool to observe TF regulons is also offered, enabling a clear-cut understanding of the exact meaning of the available data. We believe that with this new version, YEASTRACT will improve its role as an open web resource instrumental for Yeast Biologists and Systems Biology researchers.
酵母转录调控因子搜索和共识跟踪(YEASTRACT-www.yeastract.com)信息系统已经成为分析和预测酿酒酵母基因和基因组水平转录调控关联的重要工具,该系统已经运行了 11 年。自 2017 年 6 月最后一次更新以来,YEASTRACT 数据库包含了约 163000 个酿酒酵母转录因子(TF)和靶基因之间的调控关联,这些关联基于超过 1600 篇参考文献;它还包括 113 个 TF 识别的 247 个特定的 DNA 结合共识。这个版本的 YEASTRACT 数据库提供了新的可视化工具,可以交互式地可视化每个调控网络,使用户能够选择和观察网络的子集,例如:(i)仅考虑 DNA 结合证据或同时考虑 DNA 结合和表达证据;(ii)仅考虑正调控或负调控关联;或 (iii)仅考虑一组相关的环境条件。还提供了一个观察 TF 调控子的工具,使用户能够清晰地理解可用数据的确切含义。我们相信,通过这个新版本,YEASTRACT 将更好地发挥其作为酵母生物学家和系统生物学研究人员的开放网络资源的作用。