A systematic model to predict transcriptional regulatory mechanisms based on overrepresentation of transcription factor binding profiles.
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Asap: a framework for over-representation statistics for transcription factor binding sitesTFM-Explorer: mining cis-regulatory regions in genomesBiologicalNetworks--tools enabling the integration of multi-scale data for the host-pathogen studiesNeurogenin and NeuroD direct transcriptional targets and their regulatory enhancersIdentification of novel regulatory modules in dicotyledonous plants using expression data and comparative genomicsInterleukin-1β modulates smooth muscle cell phenotype to a distinct inflammatory state relative to PDGF-DD via NF-κB-dependent mechanisms.Prediction and experimental validation of novel STAT3 target genes in human cancer cellsUncovering transcriptional interactions via an adaptive fuzzy logic approachInference of transcription modification in long-live yeast strains from their expression profilesThe cis-regulatory logic of the mammalian photoreceptor transcriptional network.Fine-tuning enhancer models to predict transcriptional targets across multiple genomesModeling the quantitative specificity of DNA-binding proteins from example binding sites.Identification and characterization of glucocorticoid receptor-binding sites in the human genome.Motif Enrichment Analysis: a unified framework and an evaluation on ChIP data.Identification of polymorphic antioxidant response elements in the human genome.Identification of functional TFAP2A and SP1 binding sites in new TFAP2A-modulated genesA novel HMM-based method for detecting enriched transcription factor binding sites reveals RUNX3 as a potential target in pancreatic cancer biology.Evolutionary divergence and limits of conserved non-coding sequence detection in plant genomes.Identification of transcriptional regulatory networks specific to pilocytic astrocytoma.Highly conserved transcriptional responses to mechanical ventilation of the lung.CCAAT/enhancer-binding protein β and NF-κB mediate high level expression of chemokine genes CCL3 and CCL4 by human chondrocytes in response to IL-1β.An integrated approach to characterize transcription factor and microRNA regulatory networks involved in Schwann cell response to peripheral nerve injuryActin and Keratin are Binding Partners of the 1,25D3-MARRS Receptor/PDIA3/ERp57PAP: a comprehensive workbench for mammalian transcriptional regulatory sequence analysis.Conserved Motifs and Prediction of Regulatory Modules in Caenorhabditis elegansTIGERi: modeling and visualizing the responses to perturbation of a transcription factor network.Using graph models to find transcription factor modules: the hitting set problem and an exact algorithm.Exuberant expression of chemokine genes by adult human articular chondrocytes in response to IL-1beta.ModuleMiner - improved computational detection of cis-regulatory modules: are there different modes of gene regulation in embryonic development and adult tissues?In silico promoters: modelling of cis-regulatory context facilitates target predictio.Discovery and verification of functional single nucleotide polymorphisms in regulatory genomic regions: current and developing technologiesTissue-specific regulatory network extractor (TS-REX): a database and software resource for the tissue and cell type-specific investigation of transcription factor-gene networksRegulation by transcription factors in bacteria: beyond descriptionGenetic predisposition in NAFLD and NASH: impact on severity of liver disease and response to treatment.CpG-depleted promoters harbor tissue-specific transcription factor binding signals--implications for motif overrepresentation analyses.Resistin induces expression of proinflammatory cytokines and chemokines in human articular chondrocytes via transcription and messenger RNA stabilization.Computational identification of the normal and perturbed genetic networks involved in myeloid differentiation and acute promyelocytic leukemia.Computational identification and functional validation of regulatory motifs in cartilage-expressed genes.Systematic functional characterization of cis-regulatory motifs in human core promotersUncovering cis-regulatory sequence requirements for context-specific transcription factor binding.
P2860
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P2860
A systematic model to predict transcriptional regulatory mechanisms based on overrepresentation of transcription factor binding profiles.
description
2006 nî lūn-bûn
@nan
2006 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2006 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2006年の論文
@ja
2006年論文
@yue
2006年論文
@zh-hant
2006年論文
@zh-hk
2006年論文
@zh-mo
2006年論文
@zh-tw
2006年论文
@wuu
name
A systematic model to predict ...... ption factor binding profiles.
@ast
A systematic model to predict ...... ption factor binding profiles.
@en
A systematic model to predict ...... ption factor binding profiles.
@nl
type
label
A systematic model to predict ...... ption factor binding profiles.
@ast
A systematic model to predict ...... ption factor binding profiles.
@en
A systematic model to predict ...... ption factor binding profiles.
@nl
prefLabel
A systematic model to predict ...... ption factor binding profiles.
@ast
A systematic model to predict ...... ption factor binding profiles.
@en
A systematic model to predict ...... ption factor binding profiles.
@nl
P2093
P2860
P356
P1433
P1476
A systematic model to predict ...... iption factor binding profiles
@en
P2093
Gary D Stormo
Jeffrey A Magee
Li-Wei Chang
Rakesh Nagarajan
P2860
P304
P356
10.1101/GR.4303406
P577
2006-01-31T00:00:00Z