about
Microarrays, deep sequencing and the true measure of the transcriptomeFrom RNA-seq reads to differential expression resultsDesign and computational analysis of single-cell RNA-sequencing experimentsTranscriptome Analysis in Domesticated Species: Challenges and StrategiesThe analytical landscape of static and temporal dynamics in transcriptome dataA survey of best practices for RNA-seq data analysisRNA Sequencing and AnalysisDifferential Expression of Genes Involved in Host Recognition, Attachment, and Degradation in the Mycoparasite Tolypocladium ophioglossoidesDe novo transcript sequence reconstruction from RNA-seq using the Trinity platform for reference generation and analysisIdentification of Circular RNAs and Their Targets in Leaves of Triticum aestivum L. under Dehydration StressImpact of Low Dose Oral Exposure to Bisphenol A (BPA) on the Neonatal Rat Hypothalamic and Hippocampal Transcriptome: A CLARITY-BPA Consortium StudyToward reliable biomarker signatures in the age of liquid biopsies - how to standardize the small RNA-Seq workflowGlia Open Access Database (GOAD): A comprehensive gene expression encyclopedia of glia cells in health and disease.Behavioral and neurogenomic transcriptome changes in wild-derived zebrafish with fluoxetine treatmentEvaluating statistical analysis models for RNA sequencing experiments.The bench scientist's guide to statistical analysis of RNA-Seq data.Blocking and randomization to improve molecular biomarker discovery.Applied equine genetics.Sample size calculation for differential expression analysis of RNA-seq data under Poisson distribution.Comparative studies of differential gene calling using RNA-Seq data.Sample size calculation based on exact test for assessing differential expression analysis in RNA-seq data.NGSANE: a lightweight production informatics framework for high-throughput data analysis.Unifying the analysis of high-throughput sequencing datasets: characterizing RNA-seq, 16S rRNA gene sequencing and selective growth experiments by compositional data analysis.De novo assembly of red clover transcriptome based on RNA-Seq data provides insight into drought response, gene discovery and marker identification.RNA-seq Data: Challenges in and Recommendations for Experimental Design and Analysis.rMATS: robust and flexible detection of differential alternative splicing from replicate RNA-Seq dataCo-expression analysis of high-throughput transcriptome sequencing data with Poisson mixture models.DGEclust: differential expression analysis of clustered count data.quantro: a data-driven approach to guide the choice of an appropriate normalization methodData quality aware analysis of differential expression in RNA-seq with NOISeq R/Bioc packageStatistical models for RNA-seq data derived from a two-condition 48-replicate experiment.Normalization and microbial differential abundance strategies depend upon data characteristics.Dual RNA-seq of parasite and host reveals gene expression dynamics during filarial worm-mosquito interactionsMicroRNA regulation of bovine monocyte inflammatory and metabolic networks in an in vivo infection model.Integration of quantitated expression estimates from polyA-selected and rRNA-depleted RNA-seq librariesLimited gene misregulation is exacerbated by allele-specific upregulation in lethal hybrids between Drosophila melanogaster and Drosophila simulansRNA-seq: technical variability and sampling.Whole-transcriptome RNAseq analysis from minute amount of total RNA.Scalable transcriptome preparation for massive parallel sequencingOn differential gene expression using RNA-Seq data
P2860
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P2860
description
2010 nî lūn-bûn
@nan
2010 թուականի Մայիսին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի մայիսին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
name
Statistical design and analysis of RNA sequencing data.
@ast
Statistical design and analysis of RNA sequencing data.
@en
Statistical design and analysis of RNA sequencing data.
@nl
type
label
Statistical design and analysis of RNA sequencing data.
@ast
Statistical design and analysis of RNA sequencing data.
@en
Statistical design and analysis of RNA sequencing data.
@nl
prefLabel
Statistical design and analysis of RNA sequencing data.
@ast
Statistical design and analysis of RNA sequencing data.
@en
Statistical design and analysis of RNA sequencing data.
@nl
P2860
P921
P1433
P1476
Statistical design and analysis of RNA sequencing data.
@en
P2093
Paul L Auer
R W Doerge
P2860
P304
P356
10.1534/GENETICS.110.114983
P407
P577
2010-05-03T00:00:00Z