about
Next generation sequencing technology and genomewide data analysis: Perspectives for retinal researchOSG-GEM: Gene Expression Matrix Construction Using the Open Science GridAnalysis of Gene Expression in an Inbred Line of Soft-Shell Clams (Mya arenaria) Displaying Growth Heterosis: Regulation of Structural Genes and the NOD2 PathwayRNA sequencing analysis of the developing chicken retina.Robust detection of immune transcripts in FFPE samples using targeted RNA sequencing.Variation-preserving normalization unveils blind spots in gene expression profiling.The Lair: a resource for exploratory analysis of published RNA-Seq data.aRNApipe: a balanced, efficient and distributed pipeline for processing RNA-seq data in high-performance computing environments.ATGC transcriptomics: a web-based application to integrate, explore and analyze de novo transcriptomic dataAn additional k-means clustering step improves the biological features of WGCNA gene co-expression networks.Large Differences in Gene Expression Responses to Drought and Heat Stress between Elite Barley Cultivar Scarlett and a Spanish Landrace.Radiogenomic Analysis of Oncological Data: A Technical Survey.Multi-omics approaches to disease.A high quality Arabidopsis transcriptome for accurate transcript-level analysis of alternative splicing.Transcriptomics technologies.Understanding RNA modifications: the promises and technological bottlenecks of the 'epitranscriptome'.RNA sequencing and transcriptome arrays analyses show opposing results for alternative splicing in patient derived samplesIdentification of Genes Associated with Lemon Floral Transition and Flower Development during Floral Inductive Water Deficits: A Hypothetical Model.Integration of quantitated expression estimates from polyA-selected and rRNA-depleted RNA-seq librariesRibosome RNA Profiling to Quantify Ovarian Development and Identify Sex in Fish.Searching for an Accurate Marker-Based Prediction of an Individual Quantitative Trait in Molecular Plant Breeding.Differential expression analysis for RNAseq using Poisson mixed models.Characterisation of the Whole Blood mRNA Transcriptome in Holstein-Friesian and Jersey Calves in Response to Gradual Weaning.MicroScope: ChIP-seq and RNA-seq software analysis suite for gene expression heatmaps.A set of genes conserved in sequence and expression traces back the establishment of multicellularity in social amoebae.Transcriptional Responses in Root and Leaf of Prunus persica under Drought Stress Using RNA Sequencing.PARRoT- a homology-based strategy to quantify and compare RNA-sequencing from non-model organisms.Resolving host-pathogen interactions by dual RNA-seq.Comprehensive evaluation of RNA-seq quantification methods for linearityTranscriptome analysis of Corynebacterium glutamicum in the process of recombinant protein expression in bioreactorsRewiring of the inferred protein interactome during blood development studied with the tool PPICompare.phylo-node: A molecular phylogenetic toolkit using Node.js.SCnorm: robust normalization of single-cell RNA-seq data.'Big data' approaches for novel anti-cancer drug discovery.The Utility of Gene Expression Profiling from Tissue Samples to Support Drug Safety Assessments.Nanopore sequencing data analysis: state of the art, applications and challenges.Reverse Transcription Errors and RNA-DNA Differences at Short Tandem RepeatsAllele-specific expression in the human heart and its application to postoperative atrial fibrillation and myocardial ischemia.Assessing the Gene Content of the Megagenome: Sugar Pine (Pinus lambertiana).Brain transcriptomes of harbor seals demonstrate gene expression patterns of animals undergoing a metabolic disease and a viral infection.
P2860
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P2860
description
2016 nî lūn-bûn
@nan
2016 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2016 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2016年の論文
@ja
2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
name
A survey of best practices for RNA-seq data analysis
@ast
A survey of best practices for RNA-seq data analysis
@en
A survey of best practices for RNA-seq data analysis
@nl
type
label
A survey of best practices for RNA-seq data analysis
@ast
A survey of best practices for RNA-seq data analysis
@en
A survey of best practices for RNA-seq data analysis
@nl
prefLabel
A survey of best practices for RNA-seq data analysis
@ast
A survey of best practices for RNA-seq data analysis
@en
A survey of best practices for RNA-seq data analysis
@nl
P2093
P2860
P50
P921
P3181
P1433
P1476
A survey of best practices for RNA-seq data analysis
@en
P2093
Alejandra Cervera
Ali Mortazavi
Andrew McPherson
Sonia Tarazona
Xuegong Zhang
P2860
P2888
P3181
P356
10.1186/S13059-016-0881-8
P407
P50
P577
2016-01-26T00:00:00Z
P5875
P6179
1041902478