Genome-wide prediction of transcription factor binding sites using an integrated model.
about
Accurate inference of transcription factor binding from DNA sequence and chromatin accessibility dataEpigenetic priors for identifying active transcription factor binding sitesQuantitative models of the mechanisms that control genome-wide patterns of transcription factor binding during early Drosophila developmentGenome-wide predictors of NF-κB recruitment and transcriptional activityMotifLab: a tools and data integration workbench for motif discovery and regulatory sequence analysis.Comparative annotation of functional regions in the human genome using epigenomic dataModels incorporating chromatin modification data identify functionally important p53 binding sitesGlobal Mapping of Transcription Factor Binding Sites by Sequencing Chromatin Surrogates: a Perspective on Experimental Design, Data Analysis, and Open ProblemsIntegrating motif, DNA accessibility and gene expression data to build regulatory maps in an organismInferring dynamic gene regulatory networks in cardiac differentiation through the integration of multi-dimensional data.Combining transcription factor binding affinities with open-chromatin data for accurate gene expression predictionChromatin states reveal functional associations for globally defined transcription start sites in four human cell lines.Metamotifs--a generative model for building families of nucleotide position weight matrices.Genome-wide histone acetylation data improve prediction of mammalian transcription factor binding sites.Machine learning and genome annotation: a match meant to be?Assessing computational methods of cis-regulatory module prediction.ChIP-chip versus ChIP-seq: lessons for experimental design and data analysis.Computational study of associations between histone modification and protein-DNA binding in yeast genome by integrating diverse information.Occupancy classification of position weight matrix-inferred transcription factor binding sites.Clustered ChIP-Seq-defined transcription factor binding sites and histone modifications map distinct classes of regulatory elements.Prediction of regulatory interactions from genome sequences using a biophysical model for the Arabidopsis LEAFY transcription factor.A wavelet approach to detect enriched regions and explore epigenomic landscapes.CBS: an open platform that integrates predictive methods and epigenetics information to characterize conserved regulatory features in multiple Drosophila genomesCTF: a CRF-based transcription factor binding sites finding system.Identification of regulatory regions of bidirectional genes in cervical cancerThe patterns of histone modifications in the vicinity of transcription factor binding sites in human lymphoblastoid cell lines.Ligand-dependent dynamics of retinoic acid receptor binding during early neurogenesisFinding associations among histone modifications using sparse partial correlation networks.Identification of functional cis-regulatory elements by sequential enrichment from a randomized synthetic DNA library.Predicting tissue specific transcription factor binding sites.Transcription factor binding sites prediction based on modified nucleosomesTissue-specific prediction of directly regulated genesBase-resolution methylation patterns accurately predict transcription factor bindings in vivo.Integrating diverse datasets improves developmental enhancer predictionIdentifying functional single nucleotide polymorphisms in the human CArGomeProteogenomics analysis reveals specific genomic orientations of distal regulatory regions composed by non-canonical histone variants.The role of chromatin accessibility in directing the widespread, overlapping patterns of Drosophila transcription factor binding.TIP: a probabilistic method for identifying transcription factor target genes from ChIP-seq binding profiles.DELTA: A Distal Enhancer Locating Tool Based on AdaBoost Algorithm and Shape Features of Chromatin Modifications.MOST+: A de novo motif finding approach combining genomic sequence and heterogeneous genome-wide signatures.
P2860
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P2860
Genome-wide prediction of transcription factor binding sites using an integrated model.
description
2010 nî lūn-bûn
@nan
2010年の論文
@ja
2010年学术文章
@wuu
2010年学术文章
@zh-cn
2010年学术文章
@zh-hans
2010年学术文章
@zh-my
2010年学术文章
@zh-sg
2010年學術文章
@yue
2010年學術文章
@zh
2010年學術文章
@zh-hant
name
Genome-wide prediction of transcription factor binding sites using an integrated model.
@en
Genome-wide prediction of transcription factor binding sites using an integrated model.
@nl
type
label
Genome-wide prediction of transcription factor binding sites using an integrated model.
@en
Genome-wide prediction of transcription factor binding sites using an integrated model.
@nl
prefLabel
Genome-wide prediction of transcription factor binding sites using an integrated model.
@en
Genome-wide prediction of transcription factor binding sites using an integrated model.
@nl
P2860
P356
P1433
P1476
Genome-wide prediction of transcription factor binding sites using an integrated model
@en
P2093
P2860
P2888
P356
10.1186/GB-2010-11-1-R7
P577
2010-01-22T00:00:00Z
P5875
P6179
1046045266