Predicting functionality of protein-DNA interactions by integrating diverse evidence.
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Assessing computational methods for transcription factor target gene identification based on ChIP-seq data.Inferring functional transcription factor-gene binding pairs by integrating transcription factor binding data with transcription factor knockout dataKnowledge-based data analysis comes of age.Most transcription factor binding sites are in a few mosaic classes of the human genome.Toward the dynamic interactome: it's about time.p53-dependent gene repression through p21 is mediated by recruitment of E2F4 repression complexes.A quantitative model of transcriptional regulation reveals the influence of binding location on expressionComputational study of associations between histone modification and protein-DNA binding in yeast genome by integrating diverse information.Learning transcriptional regulation on a genome scale: a theoretical analysis based on gene expression data.Exploring and exploiting disease interactions from multi-relational gene and phenotype networks.Leveraging domain information to restructure biological prediction.Extracting regulator activity profiles by integration of de novo motifs and expression data: characterizing key regulators of nutrient depletion responses in Streptomyces coelicolor.Binding Sites in the EFG1 Promoter for Transcription Factors in a Proposed Regulatory Network: A Functional Analysis in the White and Opaque Phases of Candida albicansHigh-Throughput Identification of Cis-Regulatory Rewiring Events in Yeast.Chromatin-driven de novo discovery of DNA binding motifs in the human malaria parasiteGRISOTTO: A greedy approach to improve combinatorial algorithms for motif discovery with prior knowledge.Dynamic CRM occupancy reflects a temporal map of developmental progression.
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Predicting functionality of protein-DNA interactions by integrating diverse evidence.
description
article científic
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article scientifique
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articolo scientifico
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artigo científico
@pt
bilimsel makale
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scientific article published on June 2009
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vedecký článok
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vetenskaplig artikel
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videnskabelig artikel
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vědecký článek
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name
Predicting functionality of protein-DNA interactions by integrating diverse evidence.
@en
Predicting functionality of protein-DNA interactions by integrating diverse evidence.
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type
label
Predicting functionality of protein-DNA interactions by integrating diverse evidence.
@en
Predicting functionality of protein-DNA interactions by integrating diverse evidence.
@nl
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Predicting functionality of protein-DNA interactions by integrating diverse evidence.
@en
Predicting functionality of protein-DNA interactions by integrating diverse evidence.
@nl
P2093
P2860
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P1476
Predicting functionality of protein-DNA interactions by integrating diverse evidence.
@en
P2093
Andreas Beyer
Christopher T Workman
Duygu Ucar
Srinivasan Parthasarathy
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P304
P356
10.1093/BIOINFORMATICS/BTP213
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P577
2009-06-01T00:00:00Z