Department of Computer Science, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA
Department of Computer Science, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.
Nucleic Acids Res. 2014 Jul;42(Web Server issue):W20-5. doi: 10.1093/nar/gku456. Epub 2014 May 23.
The Motif Enrichment Tool (MET) provides an online interface that enables users to find major transcriptional regulators of their gene sets of interest. MET searches the appropriate regulatory region around each gene and identifies which transcription factor DNA-binding specificities (motifs) are statistically overrepresented. Motif enrichment analysis is currently available for many metazoan species including human, mouse, fruit fly, planaria and flowering plants. MET also leverages high-throughput experimental data such as ChIP-seq and DNase-seq from ENCODE and ModENCODE to identify the regulatory targets of a transcription factor with greater precision. The results from MET are produced in real time and are linked to a genome browser for easy follow-up analysis. Use of the web tool is free and open to all, and there is no login requirement. ADDRESS: http://veda.cs.uiuc.edu/MET/.
motif 富集工具(MET)提供了一个在线界面,使用户能够找到其感兴趣的基因集的主要转录调控因子。MET 搜索每个基因周围的适当调控区域,并确定哪些转录因子 DNA 结合特异性(基序)在统计上过度表达。 motif 富集分析目前可用于许多后生动物物种,包括人类、小鼠、果蝇、涡虫和开花植物。MET 还利用来自 ENCODE 和 ModENCODE 的高通量实验数据,如 ChIP-seq 和 DNase-seq,以更高的精度识别转录因子的调控靶标。MET 的结果是实时生成的,并链接到基因组浏览器,便于进行后续分析。该网络工具可供所有人免费使用,无需登录。地址:http://veda.cs.uiuc.edu/MET/。