Mapping functional transcription factor networks from gene expression data. - Wikidata - wikimedia - TriplyDB

Mapping functional transcription factor networks from gene expression data.

Mapping functional transcription factor networks from gene expression data.

http://www.wikidata.org/entity/Q30620797

about

Networks of fibers and factors: regulation of capsule formation in Cryptococcus neoformans Tissue-aware data integration approach for the inference of pathway interactions in metazoan organisms A comprehensive protein-protein interactome for yeast PAS kinase 1 reveals direct inhibition of respiration through the phosphorylation of Cbf1.Glucocorticoid receptor coordinates transcription factor-dominated regulatory network in macrophages.Model-driven mapping of transcriptional networks reveals the circuitry and dynamics of virulence regulation.SeqEnrich: A tool to predict transcription factor networks from co-expressed Arabidopsis and Brassica napus gene sets.RNASeqMetaDB: a database and web server for navigating metadata of publicly available mouse RNA-Seq datasets Computational Analysis Reveals a Key Regulator of Cryptococcal Virulence and Determinant of Host Response Understanding transcriptional regulatory networks using computational models.Synergetic regulatory networks mediated by oncogene-driven microRNAs and transcription factors in serous ovarian cancer.Model-based transcriptome engineering promotes a fermentative transcriptional state in yeast.Associating transcription factors and conserved RNA structures with gene regulation in the human brain.Past Roadblocks and New Opportunities in Transcription Factor Network Mapping.By the company they keep: interaction networks define the binding ability of transcription factors.Determination of specificity influencing residues for key transcription factor families.NetProphet 2.0: Mapping Transcription Factor Networks by Exploiting Scalable Data Resources.Arabidopsis ensemble reverse-engineered gene regulatory network discloses interconnected transcription factors in oxidative stress.Genome-wide analyses of direct target genes of four rice NAC-domain transcription factors involved in drought tolerance.Seven-Up Is a Novel Regulator of Insulin Signaling.A chemogenomic approach to understand the antifungal action of Lichen-derived vulpinic acid.ATAC2GRN: optimized ATAC-seq and DNase1-seq pipelines for rapid and accurate genome regulatory network inference

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P2860

Mapping functional transcription factor networks from gene expression data.

http://www.wikidata.org/entity/Q30620797

description

2013 nî lūn-bûn

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2013 թուականի Մայիսին հրատարակուած գիտական յօդուած

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2013 թվականի մայիսին հրատարակված գիտական հոդված

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2013年の論文

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2013年論文

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2013年論文

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2013年論文

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2013年論文

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2013年論文

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2013年论文

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name

Mapping functional transcription factor networks from gene expression data.

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Mapping functional transcription factor networks from gene expression data.

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type

label

Mapping functional transcription factor networks from gene expression data.

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Mapping functional transcription factor networks from gene expression data.

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prefLabel

Mapping functional transcription factor networks from gene expression data.

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Mapping functional transcription factor networks from gene expression data.

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Genome Research

P1476

Mapping functional transcription factor networks from gene expression data.

@en

P2093

Brian C Haynes

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Ezekiel J Maier

http://www.w3.org/2001/XMLSchema#string

Holly Brown

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Michael H Kramer

http://www.w3.org/2001/XMLSchema#string

Michael R Brent

http://www.w3.org/2001/XMLSchema#string

Patricia I Wang

http://www.w3.org/2001/XMLSchema#string

P2860

Large-scale mapping and validation of Escherichia coli transcriptional regulation from a compendium of expression profiles

Wisdom of crowds for robust gene network inference

UniPROBE, update 2011: expanded content and search tools in the online database of protein-binding microarray data on protein-DNA interactions

ScerTF: a comprehensive database of benchmarked position weight matrices for Saccharomyces species

The Longhorn Array Database (LAD): an open-source, MIAME compliant implementation of the Stanford Microarray Database (SMD)

The use of biotin tagging in Saccharomyces cerevisiae improves the sensitivity of chromatin immunoprecipitation.

Linear models and empirical bayes methods for assessing differential expression in microarray experiments

Genomic expression programs in the response of yeast cells to environmental changes

Transcriptional regulatory networks in Saccharomyces cerevisiae

A heteromeric complex containing the centromere binding factor 1 and two basic leucine zipper factors, Met4 and Met28, mediates the transcription activation of yeast sulfur metabolism.

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1319-1328

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10.1101/GR.150904.112

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8

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23

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23636944

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3730105

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