A hypothesis-based approach for identifying the binding specificity of regulatory proteins from chromatin immunoprecipitation data.
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Characterization and identification of microRNA core promoters in four model speciesTranscriptional responses to fatty acid are coordinated by combinatorial controlInsights into GATA-1-mediated gene activation versus repression via genome-wide chromatin occupancy analysisSALL4, the missing link between stem cells, development and cancerAn extended transcriptional network for pluripotency of embryonic stem cellsGenome-wide profiling of H3K56 acetylation and transcription factor binding sites in human adipocytesConnecting protein structure with predictions of regulatory sites.A rapid genome-scale response of the transcriptional oscillator to perturbation reveals a period-doubling path to phenotypic change.SMOTE for high-dimensional class-imbalanced data.An efficient algorithm coupled with synthetic minority over-sampling technique to classify imbalanced PubChem BioAssay data.Inferring dynamic gene regulatory networks in cardiac differentiation through the integration of multi-dimensional data.Practical strategies for discovering regulatory DNA sequence motifs.DNA familial binding profiles made easy: comparison of various motif alignment and clustering strategies.Discriminative motif discovery in DNA and protein sequences using the DEME algorithmCell cycle genes are the evolutionarily conserved targets of the E2F4 transcription factor.Motif Enrichment Analysis: a unified framework and an evaluation on ChIP data.Hyper- and hypo- nutrition studies of the hepatic transcriptome and epigenome suggest that PPARĪ± regulates anaerobic glycolysisSequence analysis of chromatin immunoprecipitation data for transcription factors.Genomic characterization of Wilms' tumor suppressor 1 targets in nephron progenitor cells during kidney development.STEME: efficient EM to find motifs in large data setsTwo distinct promoter architectures centered on dynamic nucleosomes control ribosomal protein gene transcriptionPredicting target DNA sequences of DNA-binding proteins based on unbound structures.Unbiased, genome-wide in vivo mapping of transcriptional regulatory elements reveals sex differences in chromatin structure associated with sex-specific liver gene expressionSOX2 co-occupies distal enhancer elements with distinct POU factors in ESCs and NPCs to specify cell stateDecoding transcriptional regulatory interactionsDynamic, sex-differential STAT5 and BCL6 binding to sex-biased, growth hormone-regulated genes in adult mouse liverIRES-dependent translated genes in fungi: computational prediction, phylogenetic conservation and functional association.Cross Talk Between GH-Regulated Transcription Factors HNF6 and CUX2 in Adult Mouse Liver.DBD2BS: connecting a DNA-binding protein with its binding sites.Glucose, nitrogen, and phosphate repletion in Saccharomyces cerevisiae: common transcriptional responses to different nutrient signals.Impact of CUX2 on the female mouse liver transcriptome: activation of female-biased genes and repression of male-biased genes.Poly-glutamine expanded huntingtin dramatically alters the genome wide binding of HSF1.Extensive changes in DNA methylation are associated with expression of mutant huntingtin.Non-DNA-binding cofactors enhance DNA-binding specificity of a transcriptional regulatory complex.Collective behavior in gene regulation: the cell is an oscillator, the cell cycle a developmental processLarge-scale discovery of ERK2 substrates identifies ERK-mediated transcriptional regulation by ETV3.Scoring overlapping and adjacent signals from genome-wide ChIP and DamID assays.Computational approaches, databases and tools for in silico motif discovery.Identification of an OCT4 and SRY regulatory module using integrated computational and experimental genomics approaches.WebMOTIFS: automated discovery, filtering and scoring of DNA sequence motifs using multiple programs and Bayesian approaches.
P2860
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P2860
A hypothesis-based approach for identifying the binding specificity of regulatory proteins from chromatin immunoprecipitation data.
description
2005 nĆ® lÅ«n-bĆ»n
@nan
2005 Õ©ÕøÖÕ”ÕÆÕ”Õ¶Õ« Ō“Õ„ÕÆÕæÕ„Õ“Õ¢Õ„ÖÕ«Õ¶ Õ°ÖÕ”ÕæÕ”ÖÕ”ÕÆÕøÖÕ”Õ® Õ£Õ«ÕæÕ”ÕÆÕ”Õ¶ ÕµÖ
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@hyw
2005 Õ©Õ¾Õ”ÕÆÕ”Õ¶Õ« Õ¤Õ„ÕÆÕæÕ„Õ“Õ¢Õ„ÖÕ«Õ¶ Õ°ÖÕ”ÕæÕ”ÖÕ”ÕÆÕ¾Õ”Õ® Õ£Õ«ÕæÕ”ÕÆÕ”Õ¶ Õ°ÕøÕ¤Õ¾Õ”Õ®
@hy
2005幓ć®č«ę
@ja
2005幓č«ę
@yue
2005幓č«ę
@zh-hant
2005幓č«ę
@zh-hk
2005幓č«ę
@zh-mo
2005幓č«ę
@zh-tw
2005幓č®ŗę
@wuu
name
A hypothesis-based approach fo ...... atin immunoprecipitation data.
@ast
A hypothesis-based approach fo ...... atin immunoprecipitation data.
@en
type
label
A hypothesis-based approach fo ...... atin immunoprecipitation data.
@ast
A hypothesis-based approach fo ...... atin immunoprecipitation data.
@en
prefLabel
A hypothesis-based approach fo ...... atin immunoprecipitation data.
@ast
A hypothesis-based approach fo ...... atin immunoprecipitation data.
@en
P2093
P2860
P50
P356
P1433
P1476
A hypothesis-based approach fo ...... matin immunoprecipitation data
@en
P2093
D Benjamin Gordon
David K Gifford
Joerg Schreiber
Kenzie D Macisaac
Lena Nekludova
P2860
P304
P356
10.1093/BIOINFORMATICS/BTI815
P407
P577
2005-12-06T00:00:00Z