Quantitative and predictive model of transcriptional control of the Drosophila melanogaster even skipped gene. - Wikidata - awgldk - TriplyDB

Quantitative and predictive model of transcriptional control of the Drosophila melanogaster even skipped gene.

Quantitative and predictive model of transcriptional control of the Drosophila melanogaster even skipped gene.

http://www.wikidata.org/entity/Q51933279

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The Drosophila gap gene network is composed of two parallel toggle switches Consequences of eukaryotic enhancer architecture for gene expression dynamics, development, and fitness Comparative studies of gene expression and the evolution of gene regulation FlyFactorSurvey: a database of Drosophila transcription factor binding specificities determined using the bacterial one-hybrid system Dynamic evolution of precise regulatory encodings creates the clustered site signature of enhancers NetExplore: a web server for modeling small network motifs.Mutual repression enhances the steepness and precision of gene expression boundaries NELF potentiates gene transcription in the Drosophila embryo A biophysical model for analysis of transcription factor interaction and binding site arrangement from genome-wide binding data The appeasement of Doug: a synthetic approach to enhancer biology.Inferring Drosophila gap gene regulatory network: a parameter sensitivity and perturbation analysis GINI: from ISH images to gene interaction networks Bicoid signal extraction with a selection of parametric and nonparametric signal processing techniques Incorporating chromatin accessibility data into sequence-to-expression modeling Enhancer responses to similarly distributed antagonistic gradients in development Automatic image analysis for gene expression patterns of fly embryos.Small regulatory RNAs may sharpen spatial expression patterns Sepsid even-skipped enhancers are functionally conserved in Drosophila despite lack of sequence conservation.Image processing and analysis for quantifying gene expression from early Drosophila embryos SBML-SAT: a systems biology markup language (SBML) based sensitivity analysis tool.STREAM: Static Thermodynamic REgulAtory Model of transcription.Pipeline for acquisition of quantitative data on segmentation gene expression from confocal images.Evolution of regulatory sequences in 12 Drosophila species.Methods for Acquisition of Quantitative Data from Confocal Images of Gene Expression in situ.Identifying cis-regulatory sequences by word profile similarity Comparison of evolutionary algorithms in gene regulatory network model inference.Dual-functioning transcription factors in the developmental gene network of Drosophila melanogaster Parameter inference for discretely observed stochastic kinetic models using stochastic gradient descent.Nonparametric identification of regulatory interactions from spatial and temporal gene expression data Quantitative analysis of the Drosophila segmentation regulatory network using pattern generating potentials.Thermodynamics-based models of transcriptional regulation by enhancers: the roles of synergistic activation, cooperative binding and short-range repression.Thermodynamic modeling of transcription: sensitivity analysis differentiates biological mechanism from mathematical model-induced effects Functional data analysis for identifying nonlinear models of gene regulatory networks A conserved developmental patterning network produces quantitatively different output in multiple species of Drosophila.Macro-level modeling of the response of C. elegans reproduction to chronic heat stress.Contribution of transcription factor binding site motif variants to condition-specific gene expression patterns in budding yeast Predicting spatial and temporal gene expression using an integrative model of transcription factor occupancy and chromatin state.Visual exploration of three-dimensional gene expression using physical views and linked abstract views.Rearrangements of 2.5 kilobases of noncoding DNA from the Drosophila even-skipped locus define predictive rules of genomic cis-regulatory logic A framework for modelling gene regulation which accommodates non-equilibrium mechanisms.

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Quantitative and predictive model of transcriptional control of the Drosophila melanogaster even skipped gene.

http://www.wikidata.org/entity/Q51933279

description

2006 nî lūn-bûn

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2006年の論文

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2006年学术文章

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Quantitative and predictive mo ...... elanogaster even skipped gene.

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Quantitative and predictive mo ...... elanogaster even skipped gene.

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Quantitative and predictive mo ...... elanogaster even skipped gene.

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Quantitative and predictive mo ...... elanogaster even skipped gene.

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Quantitative and predictive mo ...... elanogaster even skipped gene.

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Quantitative and predictive mo ...... elanogaster even skipped gene.

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P2093

David Sharp

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Ekaterina Myasnikova

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Hilde Janssens

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John Reinitz

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Shuling Hou

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P2860

Functional evolution of a cis-regulatory module

Exploiting transcription factor binding site clustering to identify cis-regulatory modules involved in pattern formation in the Drosophila genome

Computational detection of genomic cis-regulatory modules applied to body patterning in the early Drosophila embryo.

Computational identification of developmental enhancers: conservation and function of transcription factor binding-site clusters in Drosophila melanogaster and Drosophila pseudoobscura

Transcriptional control in the segmentation gene network of Drosophila

DNA binding sites: representation and discovery

Identifying DNA and protein patterns with statistically significant alignments of multiple sequences

Removal of background signal from in situ data on the expression of segmentation genes in Drosophila.

A high-throughput method for quantifying gene expression data from early Drosophila embryos.

Expression of a beta-globin gene is enhanced by remote SV40 DNA sequences.

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10

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38

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6813252

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16980977

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Drosophila melanogaster