A comparative study of techniques for differential expression analysis on RNA-Seq data. - Wikidata - wikimedia - TriplyDB

A comparative study of techniques for differential expression analysis on RNA-Seq data.

A comparative study of techniques for differential expression analysis on RNA-Seq data.

http://www.wikidata.org/entity/Q30842440

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How to Predict Molecular Interactions between Species?Use of RNA sequencing to evaluate rheumatic disease patients Transcriptomic Profile of Whole Blood Cells from Elderly Subjects Fed Probiotic Bacteria Lactobacillus rhamnosus GG ATCC 53103 (LGG) in a Phase I Open Label Study Under-Expression of Chemosensory Genes in Domiciliary Bugs of the Chagas Disease Vector Triatoma brasiliensis Conserved Gene Expression Programs in Developing Roots from Diverse Plants Informatics for RNA Sequencing: A Web Resource for Analysis on the Cloud.Computational prediction of molecular pathogen-host interactions based on dual transcriptome data.B-Cell and Monocyte Contribution to Systemic Lupus Erythematosus Identified by Cell-Type-Specific Differential Expression Analysis in RNA-Seq Data.Evaluation of methods for differential expression analysis on multi-group RNA-seq count data.contamDE: differential expression analysis of RNA-seq data for contaminated tumor samples.Data- and knowledge-based modeling of gene regulatory networks: an update.Detection and visualization of differential splicing in RNA-Seq data with JunctionSeq A Mechanistic Beta-Binomial Probability Model for mRNA Sequencing Data.Bioinformatic Analysis of Next-Generation Sequencing Data to Identify WT1-Associated Differential Gene and Isoform Expression.RNA-seq mixology: designing realistic control experiments to compare protocols and analysis methods Transcriptomic Analysis of Calcium Remodeling in Colorectal Cancer Differential expression analysis for RNAseq using Poisson mixed models.Translating RNA sequencing into clinical diagnostics: opportunities and challenges.Antennae hold a key to Varroa-sensitive hygiene behaviour in honey bees.An automated RNA-Seq analysis pipeline to identify and visualize differentially expressed genes and pathways in CHO cells.Getting the most out of RNA-seq data analysis.Trimming of sequence reads alters RNA-Seq gene expression estimates.A Human-Specific α7-Nicotinic Acetylcholine Receptor Gene in Human Leukocytes: Identification, Regulation and the Consequences of CHRFAM7A Expression.RNAseq Analyses Identify Tumor Necrosis Factor-Mediated Inflammation as a Major Abnormality in ALS Spinal Cord.RNA-seq Analysis Reveals Unique Transcriptome Signatures in Systemic Lupus Erythematosus Patients with Distinct Autoantibody Specificities PIPE-chipSAD: A Pipeline for the Analysis of High Density Arrays of Bacterial Transcriptomes Empirical assessment of analysis workflows for differential expression analysis of human samples using RNA-Seq RNA-Seq transcriptomics and pathway analyses reveal potential regulatory genes and molecular mechanisms in high- and low-residual feed intake in Nordic dairy cattle A comparison of per sample global scaling and per gene normalization methods for differential expression analysis of RNA-seq data.Integrative genomic analyses for identification and prioritization of long non-coding RNAs associated with autism.Isoform prefiltering improves performance of count-based methods for analysis of differential transcript usage.microRNA Expression in Prospectively Collected Blood as a Potential Biomarker of Breast Cancer Risk in the BCFR.MEF2B mutations in non-Hodgkin lymphoma dysregulate cell migration by decreasing MEF2B target gene activation The Phenotypic Plasticity of Duplicated Genes in Saccharomyces cerevisiae and the Origin of Adaptations.Malat1 regulates myogenic differentiation and muscle regeneration through modulating MyoD transcriptional activity De novo assembly of a tadpole shrimp (Triops newberryi) transcriptome and preliminary differential gene expression analysis.Transcriptional reprogramming underpins enhanced plant growth promotion by the biocontrol fungus Trichoderma hamatum GD12 during antagonistic interactions with Sclerotinia sclerotiorum in soil.Genomic limitations to RNA sequencing expression profiling.The non-invasive exfoliated transcriptome (exfoliome) reflects the tissue-level transcriptome in a mouse model of NSAID enteropathy.High-throughput sequencing reveals novel lincRNA in age-related cataract.

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P2860

A comparative study of techniques for differential expression analysis on RNA-Seq data.

http://www.wikidata.org/entity/Q30842440

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

@zh-hant

2014年論文

@zh-hk

2014年論文

@zh-mo

2014年論文

@zh-tw

2014年论文

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name

A comparative study of techniques for differential expression analysis on RNA-Seq data.

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A comparative study of techniques for differential expression analysis on RNA-Seq data.

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type

label

A comparative study of techniques for differential expression analysis on RNA-Seq data.

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A comparative study of techniques for differential expression analysis on RNA-Seq data.

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prefLabel

A comparative study of techniques for differential expression analysis on RNA-Seq data.

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A comparative study of techniques for differential expression analysis on RNA-Seq data.

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JOURNAL.PONE.0103207

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A comparative study of techniques for differential expression analysis on RNA-Seq data.

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Andreas E Lundberg

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Dhanisha J Jhaveri

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Gregory J Robinson

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Perry F Bartlett

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Ramesh K Narayanan

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Vikki M Marshall

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P2860

Deep RNA sequencing analysis of readthrough gene fusions in human prostate adenocarcinoma and reference samples

Differential expression analysis for sequence count data

RNA-Seq: a revolutionary tool for transcriptomics

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

From RNA-seq reads to differential expression results

Full-length transcriptome assembly from RNA-Seq data without a reference genome

Biases in Illumina transcriptome sequencing caused by random hexamer priming

Transcript assembly and quantification by RNA-Seq reveals unannotated transcripts and isoform switching during cell differentiation

A scaling normalization method for differential expression analysis of RNA-seq data

The transcriptional landscape of the yeast genome defined by RNA sequencing

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Zong Hong Zhang

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