Using the Phenogen website for 'in silico' analysis of morphine-induced analgesia: identifying candidate genes. - Wikidata - awgldk - TriplyDB

Using the Phenogen website for 'in silico' analysis of morphine-induced analgesia: identifying candidate genes.

Using the Phenogen website for 'in silico' analysis of morphine-induced analgesia: identifying candidate genes.

http://www.wikidata.org/entity/Q35046317

about

Hands-on workshops as an effective means of learning advanced technologies including genomics, proteomics and bioinformatics Using genome-wide expression profiling to define gene networks relevant to the study of complex traits: from RNA integrity to network topology Genetical genomic analysis of complex phenotypes using the PhenoGen website Convergent functional genomics in addiction research - a translational approach to study candidate genes and gene networks A systems genetic analysis of alcohol drinking by mice, rats and men: influence of brain GABAergic transmission.Rat Genome and Model Resources.Genetics of gene expression characterizes response to selective breeding for alcohol preference.miRNA‐regulated transcription associated with mouse strains predisposed to hypnotic effects of ethanol.Predictive modeling of miRNA-mediated predisposition to alcohol-related phenotypes in mouse Condition-adaptive fused graphical lasso (CFGL): An adaptive procedure for inferring condition-specific gene co-expression network

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P2860

Using the Phenogen website for 'in silico' analysis of morphine-induced analgesia: identifying candidate genes.

http://www.wikidata.org/entity/Q35046317

description

2010 nî lūn-bûn

@nan

2010 թուականի Նոյեմբերին հրատարակուած գիտական յօդուած

@hyw

2010 թվականի նոյեմբերին հրատարակված գիտական հոդված

@hy

2010年の論文

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2010年論文

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2010年論文

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2010年論文

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2010年論文

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2010年論文

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2010年论文

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name

Using the Phenogen website for ...... : identifying candidate genes.

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Using the Phenogen website for ...... : identifying candidate genes.

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Using the Phenogen website for ...... : identifying candidate genes.

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J.1369-1600.2010.00254.X

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Addiction Biology

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Using the Phenogen website for ...... a: identifying candidate genes

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Beth Bennett

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Boris Tabakoff

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Cheryl K Hornbaker

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Paula L Hoffman

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P2860

Bioconductor: open software development for computational biology and bioinformatics

Progress in genetic studies of pain and analgesia

Role of the JIP4 scaffold protein in the regulation of mitogen-activated protein kinase signaling pathways

JLP: A scaffolding protein that tethers JNK/p38MAPK signaling modules and transcription factors.

PGC-1 coactivators: inducible regulators of energy metabolism in health and disease

Phactrs 1-4: A family of protein phosphatase 1 and actin regulatory proteins

The NCBI dbGaP database of genotypes and phenotypes

BioArray Software Environment (BASE): a platform for comprehensive management and analysis of microarray data.

Crystal structure of murine CstF-77: dimeric association and implications for polyadenylation of mRNA precursors

The role of mu opioid receptor desensitization and endocytosis in morphine tolerance and dependence

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3115429

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