RNA-Seq provides new insights in the transcriptome responses induced by the carcinogen benzo[a]pyrene.
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Comparison of toxicogenomics and traditional approaches to inform mode of action and points of departure in human health risk assessment of benzo[a]pyrene in drinking waterHigh-throughput data integration of RNA-miRNA-circRNA reveals novel insights into mechanisms of benzo[a]pyrene-induced carcinogenicityAnalysis of the transcriptome in molecular epidemiology studiesNew insights into BaP-induced toxicity: role of major metabolites in transcriptomics and contribution to hepatocarcinogenesisRNA-seq data analysis at the gene and CDS levels provides a comprehensive view of transcriptome responses induced by 4-hydroxynonenalModel-based contextualization of in vitro toxicity data quantitatively predicts in vivo drug response in patients.Comparison of microarrays and RNA-seq for gene expression analyses of dose-response experiments.RNA-Seq gene expression profiling of HepG2 cells: the influence of experimental factors and comparison with liver tissue.The OncoFinder algorithm for minimizing the errors introduced by the high-throughput methods of transcriptome analysisIdentification of Novel Reference Genes Suitable for qRT-PCR Normalization with Respect to the Zebrafish Developmental StageThe Regulation of para-Nitrophenol Degradation in Pseudomonas putida DLL-E4.Transcriptomic Changes in Zebrafish Embryos and Larvae Following Benzo[a]pyrene ExposureZEBRAFISH AS AN IN VIVO MODEL FOR SUSTAINABLE CHEMICAL DESIGN.Profiling status epilepticus-induced changes in hippocampal RNA expression using high-throughput RNA sequencing.First-generation annotations for the fathead minnow (Pimephales promelas) genome.Mathematical Justification of Expression-Based Pathway Activation Scoring (PAS).Data aggregation at the level of molecular pathways improves stability of experimental transcriptomic and proteomic data.Inter-laboratory study of human in vitro toxicogenomics-based tests as alternative methods for evaluating chemical carcinogenicity: a bioinformatics perspective.From Classical Toxicology to Tox21: Some Critical Conceptual and Technological Advances in the Molecular Understanding of the Toxic Response Beginning From the Last Quarter of the 20th Century.Machine Learning Based Toxicity Prediction: From Chemical Structural Description to Transcriptome AnalysisSystems Biology and Synthetic Biology: A New Epoch for Toxicology Research
P2860
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P2860
RNA-Seq provides new insights in the transcriptome responses induced by the carcinogen benzo[a]pyrene.
description
2012 nî lūn-bûn
@nan
2012 թուականի Օգոստոսին հրատարակուած գիտական յօդուած
@hyw
2012 թվականի օգոստոսին հրատարակված գիտական հոդված
@hy
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
name
RNA-Seq provides new insights ...... the carcinogen benzo[a]pyrene.
@ast
RNA-Seq provides new insights ...... the carcinogen benzo[a]pyrene.
@en
RNA-Seq provides new insights ...... the carcinogen benzo[a]pyrene.
@nl
type
label
RNA-Seq provides new insights ...... the carcinogen benzo[a]pyrene.
@ast
RNA-Seq provides new insights ...... the carcinogen benzo[a]pyrene.
@en
RNA-Seq provides new insights ...... the carcinogen benzo[a]pyrene.
@nl
prefLabel
RNA-Seq provides new insights ...... the carcinogen benzo[a]pyrene.
@ast
RNA-Seq provides new insights ...... the carcinogen benzo[a]pyrene.
@en
RNA-Seq provides new insights ...... the carcinogen benzo[a]pyrene.
@nl
P2093
P50
P356
P1476
RNA-Seq provides new insights ...... the carcinogen benzo[a]pyrene.
@en
P2093
Alexander Kirpiy
Daneida Lizarraga
Joost van Delft
Karen Brauers
Marcus W Albrecht
Matthias Lienhard
Sandra Claessen
P304
P356
10.1093/TOXSCI/KFS250
P577
2012-08-13T00:00:00Z