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The concordance between RNA-seq and microarray data depends on chemical treatment and transcript abundance

The concordance between RNA-seq and microarray data depends on chemical treatment and transcript abundance

http://www.wikidata.org/entity/Q30844402

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Comprehensive Assessments of RNA-seq by the SEQC Consortium: FDA-Led Efforts Advance Precision Medicine Novel technologies and emerging biomarkers for personalized cancer immunotherapy Dynamics in Transcriptomics: Advancements in RNA-seq Time Course and Downstream Analysis Transcriptome research on spermatogenic molecular drive in mammals Intrahepatic Transcriptional Signature Associated with Response to Interferon-α Treatment in the Woodchuck Model of Chronic Hepatitis B RNA-Seq and microarray analysis of the Xenopus inner ear transcriptome discloses orthologous OMIM(®) genes for hereditary disorders of hearing and balance.Assessing Concordance of Drug-Induced Transcriptional Response in Rodent Liver and Cultured Hepatocytes Impact of Genomics Platform and Statistical Filtering on Transcriptional Benchmark Doses (BMD) and Multiple Approaches for Selection of Chemical Point of Departure (PoD)Drug Repositioning through Systematic Mining of Gene Coexpression Networks in Cancer High-throughput data integration of RNA-miRNA-circRNA reveals novel insights into mechanisms of benzo[a]pyrene-induced carcinogenicity Inter-platform concordance of gene expression data for the prediction of chemical mode of action Intersection of toxicogenomics and high throughput screening in the Tox21 program: an NIEHS perspective Neuroblastoma, a Paradigm for Big Data Science in Pediatric Oncology.Gene expression inference with deep learning.Glia Open Access Database (GOAD): A comprehensive gene expression encyclopedia of glia cells in health and disease.Co-expression analysis of high-throughput transcriptome sequencing data with Poisson mixture models.A genome-wide approach to link genotype to clinical outcome by utilizing next generation sequencing and gene chip data of 6,697 breast cancer patients.Cross-platform normalization of microarray and RNA-seq data for machine learning applications EPIG-Seq: extracting patterns and identifying co-expressed genes from RNA-Seq data.The exon quantification pipeline (EQP): a comprehensive approach to the quantification of gene, exon and junction expression from RNA-seq data.Consistency of biological networks inferred from microarray and sequencing data Synthetic data sets for the identification of key ingredients for RNA-seq differential analysis.Transcriptomic Signature of the SHATTERPROOF2 Expression Domain Reveals the Meristematic Nature of Arabidopsis Gynoecial Medial Domain.goSTAG: gene ontology subtrees to tag and annotate genes within a set A benchmark of gene expression tissue-specificity metrics.Comparative evaluation of isoform-level gene expression estimation algorithms for RNA-seq and exon-array platforms.A random effects model for the identification of differential splicing (REIDS) using exon and HTA arrays RNA sequencing and transcriptome arrays analyses show opposing results for alternative splicing in patient derived samples Use of RNA-seq to identify cardiac genes and gene pathways differentially expressed between dogs with and without dilated cardiomyopathy.A comparison of genetically matched cell lines reveals the equivalence of human iPSCs and ESCs.An investigation of biomarkers derived from legacy microarray data for their utility in the RNA-seq era Translating RNA sequencing into clinical diagnostics: opportunities and challenges.Transcriptomic profiling of rat liver samples in a comprehensive study design by RNA-Seq.APOBEC3B expression in breast cancer reflects cellular proliferation, while a deletion polymorphism is associated with immune activation.Tissue-specific transcriptome sequencing analysis expands the non-human primate reference transcriptome resource (NHPRTR).Transcriptome dynamics of the stomatal lineage: birth, amplification, and termination of a self-renewing population.Messenger RNA sequencing and pathway analysis provide novel insights into the biological basis of chickens' feed efficiency.RNA-Seq versus oligonucleotide array assessment of dose-dependent TCDD-elicited hepatic gene expression in mice.A seven-gene CpG-island methylation panel predicts breast cancer progression Egg ovotransferrin-derived ACE inhibitory peptide IRW increases ACE2 but decreases proinflammatory genes expression in mesenteric artery of spontaneously hypertensive rats.

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The concordance between RNA-seq and microarray data depends on chemical treatment and transcript abundance

http://www.wikidata.org/entity/Q30844402

description

2014 nî lūn-bûn

@nan

2014 թուականի Օգոստոսին հրատարակուած գիտական յօդուած

@hyw

2014 թվականի օգոստոսին հրատարակված գիտական հոդված

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2014年の論文

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2014年論文

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2014年論文

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2014年論文

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2014年論文

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2014年論文

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2014年论文

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name

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The concordance between RNA-se ...... tment and transcript abundance

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Nature Biotechnology

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Andreas Scherer

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Cesare Furlanello

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Charles Wang

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Dalila Megherbi

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Daniel L Svoboda

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David P Kreil

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Haiqing Li

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Hong Fang

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Hui-Rong Qian

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Huixiao Hong

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P2860

Differential expression analysis for sequence count data

AceView: a comprehensive cDNA-supported gene and transcripts annotation

Microarrays, deep sequencing and the true measure of the transcriptome

Mapping and quantifying mammalian transcriptomes by RNA-Seq

The MicroArray Quality Control (MAQC) project shows inter- and intraplatform reproducibility of gene expression measurements

TopHat: discovering splice junctions with RNA-Seq

RNA-seq: an assessment of technical reproducibility and comparison with gene expression arrays

Signal transduction pathway profiling of individual tumor samples

RNA-Seq profiling reveals novel hepatic gene expression pattern in aflatoxin B1 treated rats

Model-based analysis of oligonucleotide arrays: expression index computation and outlier detection

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10.1038/NBT.3001

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9

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32

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Jean Thierry-Mieg

Danielle Thierry-Mieg

Davide Albanese

Florian Caiment

Giuseppe Jurman

Roberto Visintainer

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2014-08-24T00:00:00Z

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