about
Quantitative models of the mechanisms that control genome-wide patterns of transcription factor binding during early Drosophila developmentSystematic targeted integration to study Albumin gene control elements.Tree-based position weight matrix approach to model transcription factor binding site profiles.Dissecting the transcriptional regulatory properties of human chromosome 16 highly conserved non-coding regionsCBS: an open platform that integrates predictive methods and epigenetics information to characterize conserved regulatory features in multiple Drosophila genomesEnhancer chip: detecting human copy number variations in regulatory elementsNF-Y and USF1 transcription factor binding to CCAAT-box and E-box elements activates the CP27 promoter.De novo prediction of cis-regulatory elements and modules through integrative analysis of a large number of ChIP datasetsPrediction of DNA binding motifs from 3D models of transcription factors; identifying TLX3 regulated genes.Cis-regulatory elements are harbored in Intron5 of the RUNX1 gene.Eye selector logic for a coordinated cell cycle exit.LCGbase: A Comprehensive Database for Lineage-Based Co-regulated Genes.ElemeNT: a computational tool for detecting core promoter elements.Evaluating tools for transcription factor binding site prediction.Using an ensemble of statistical metrics to quantify large sets of plant transcription factor binding sites.Strategies for targeting primate neural circuits with viral vectors.Osmolality/salinity-responsive enhancers (OSREs) control induction of osmoprotective genes in euryhaline fish.Discriminative identification of transcriptional responses of promoters and enhancers after stimulusA highly sensitive in vivo footprinting technique for condition-dependent identification of cis elements.Diurnal Cycling Transcription Factors of Pineapple Revealed by Genome-Wide Annotation and Global Transcriptomic Analysis.Functional Variants Identified Efficiently through an Integrated Transcriptome and Epigenome Analysis.Mammalian genomic regulatory regions predicted by utilizing human genomics, transcriptomics, and epigenetics data.Modeling circadian variability of core-clock and clock-controlled genes in four tissues of the rat.Towards a map of cis-regulatory sequences in the human genome.Sequence homology in eukaryotes (SHOE): interactive visual tool for promoter analysis
P2860
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P2860
description
2009 nî lūn-bûn
@nan
2009 թուականի Յունիսին հրատարակուած գիտական յօդուած
@hyw
2009 թվականի հունիսին հրատարակված գիտական հոդված
@hy
2009年の論文
@ja
2009年論文
@yue
2009年論文
@zh-hant
2009年論文
@zh-hk
2009年論文
@zh-mo
2009年論文
@zh-tw
2009年论文
@wuu
name
Identifying regulatory elements in eukaryotic genomes.
@ast
Identifying regulatory elements in eukaryotic genomes.
@en
type
label
Identifying regulatory elements in eukaryotic genomes.
@ast
Identifying regulatory elements in eukaryotic genomes.
@en
prefLabel
Identifying regulatory elements in eukaryotic genomes.
@ast
Identifying regulatory elements in eukaryotic genomes.
@en
P2860
P356
P1476
Identifying regulatory elements in eukaryotic genomes.
@en
P2093
Ivan Ovcharenko
Leelavati Narlikar
P2860
P304
P356
10.1093/BFGP/ELP014
P577
2009-06-04T00:00:00Z