(1)Promoter 2.0 Prediction Server http://www.cbs.dtu.dk/services/Promoter/ (2)Softberry预测TSSW、TSSP、TSSG、FPROM都是Softberry提供的启动子预测工具,http://www.softberry.com/berry.phtml?topic=tssp&group=programs&subgroup=promoter (3)Plant CARE http://bioinformatics.psb.ugent.be/webtools/plantc...
回答：上游100bp位子吧
Promoter2.0 Prediction Server (http://www.cbs.dtu.dk/services/promoter/)Soft Berry (http://www...
The promoter region was further analyzed regarding promoter elements and the transcription start site using Gene Promoter Miner (GPMiner, Bid Lab, Institute of Bioinformatics, Taiwan), EPD (Swiss Institute of Bioinformatics, Lausanne, Swiss), Promoter 2.0 Prediction Server (Lyngby, Denmark, [65]) ...
Oligonucleotides used for qPCR. Additional file 2: Table S2. Transcription start sites (TSS) prediction by Promoter 2.0 Prediction Server. Additional file 3: Figure S1. Transcription factors general expression. Additional file 4: Figure S2. Expression of palladin isoforms and myogenic genes. ...
MOTIVATION: A new approach to the prediction of eukaryotic PolII promoters from DNA sequence takes advantage of a combination of elements similar to neural networks and genetic algorithms to recognize a set of discrete subpatterns with variable separation as one pattern: a promoter. The neural netwo...
which encodes for a hypothetical protein named as CTQ41297. The promoter activity values for BM-CTQ41297 promoter is higher (1.07) than other constitutive promoters such as human ef1α (0.609), human ef1β (0.713), and CMV (0.549) promoters as analyzed by a promoter prediction server 2.0. ...
We here extend the current databases of TFs, TFBSs and regulons with our knowledge onLactococcus lactisand developed a webserver for prediction, mining and visualization of prokaryote promoter elements and regulons via a novel concept. This new approach includes an all-in-one method of data mini...
prediction and classification of a promoter are highly desired. Promoters resemble each other; therefore, their precise classification is an important challenge. In this study, we propose a convolutional neural network (CNN)-based tool, the pcPromoter-CNN, for application in the prediction of pro...
Several programs have been developed for the prediction of promoter regions. Most are based on the well known fact that binding sites of transcription factors are usually concentrated in the promoter region of eukaryotic genes, although they can also be found in other gene regions. A PROMOTER SCAN...