Unification of independent collection of transcription factor binding sites and motifs. YeasTracthttp://www.yeastract.com/ Yeast-specific database. Factors, binding sites and motifs + tools. FlyReghttp://www.flyreg.org/ Drosophila DNase I Footprint Dat...
Therefore, a good database for plant TFs and transcription factor binding sites (TFBSs) will be useful for starting a series of complex experiments. In this chapter, PlantPAN (version 3.0) is utilized as an example to explain how bioinformatics systems advance research on gene regulation....
gtrdadatabaseoftranscriptionfactorbindingsitesidentifiedby 系统标签: gtrdseqchip点识别transcriptionbinding NucleicAcidsResearch,20161doi:10.1093/nar/gkw951GTRD:adatabaseoftranscriptionfactorbindingsitesidentifiedbyChIP-seqexperimentsIvanYevshin1,2,RuslanSharipov1,2,3,TagirValeev1,4,AlexanderKel1,5andFedorKolp...
网络转录因子结合位点 网络释义 1. 转录因子结合位点 鉴定调控序列的转录因子结合位点(Transcription Factor Binding Sites)。预测“转录因子-靶基因”转录调控关系,在此基础上 … www.biosino.com.cn|基于6个网页 例句 释义: 全部,转录因子结合位点
Second, the phrase may mean a collection of DNA sequences that conform to a common pattern (motif) and are specifically recognized by a common transcription factor. As individual binding sites for a given transcription factor are often very different, a motif is usually represented by a ...
本文提介绍了scFAN(single-cell factor analysis network单细胞因子分析网络),这是一种深度学习模型,可以预测单个细胞中全基因组的转录因子结合网络。 scFAN包括对大量的数据进行“预训练模型”训练,然后使用DNA序列数据,汇总的相似scATAC-seq数据和可定位性数据的组合,将其用于预测单细胞水平上的转录因子结合。
Usually, transcription factor binding sites prediction methods based on PWMs require user-defined thresholds. The arbitrary threshold and also the relatively ... J Zheng,J Wu,Z Sun - 《Nucleic Acids Research》 被引量: 96发表: 2003年 Integrating genomic data to predict transcription factor binding...
Transcription factors (TFs) form complexes that bind regulatory modules (RMs) within DNA, to control specific sets of genes. Some transcription factor binding sites (TFBSs) near the transcription start site (TSS) display tight positional preferences relative to the TSS. Furthermore, near the TSS,...
To address these challenges, we propose TBiNet, an attention based interpretable deep neural network for predicting transcription factor binding sites. Using the attention mechanism, our method is able to assign more importance on the actual TF binding sites in the input DNA sequence. TBiNet ...
To verify whether DENIS identified a motif that can be attributed to the Dux factor, we used a previously published ChIP-seq for Dux19. The genome was scanned for binding sites, followed by binding site enrichment analysis of ChIP-peaks against the whole genome. We found the highest ...