RNA-Seq gene profiling--a systematic empirical comparison.
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Transcriptome Analysis in Domesticated Species: Challenges and StrategiesMECHANISMS IN ENDOCRINOLOGY: Alternative splicing: the new frontier in diabetes researchSingle-Cell Transcriptomics Bioinformatics and Computational ChallengesHTSeq--a Python framework to work with high-throughput sequencing dataA Four-Biomarker Blood Signature Discriminates Systemic Inflammation Due to Viral Infection Versus Other Etiologies.Toward reliable biomarker signatures in the age of liquid biopsies - how to standardize the small RNA-Seq workflowAssessing the consistency of public human tissue RNA-seq data sets.Alternative preprocessing of RNA-Sequencing data in The Cancer Genome Atlas leads to improved analysis results.B-Cell and Monocyte Contribution to Systemic Lupus Erythematosus Identified by Cell-Type-Specific Differential Expression Analysis in RNA-Seq Data.The exon quantification pipeline (EQP): a comprehensive approach to the quantification of gene, exon and junction expression from RNA-seq data.Genome, transcriptome and proteome: the rise of omics data and their integration in biomedical sciences.ChIP-Seq Data Analysis to Define Transcriptional Regulatory Networks.Properties of human disease genes and the role of genes linked to Mendelian disorders in complex disease aetiology.Differential Gene Expression in Colon Tissue Associated With Diet, Lifestyle, and Related Oxidative StressClassification of low quality cells from single-cell RNA-seq dataCodon-Driven Translational Efficiency Is Stable across Diverse Mammalian Cell States.p53 Specifically Binds Triplex DNA In Vitro and in CellsEmpirical assessment of analysis workflows for differential expression analysis of human samples using RNA-SeqComprehensive evaluation of RNA-seq quantification methods for linearityMERAV: a tool for comparing gene expression across human tissues and cell types.Gaining comprehensive biological insight into the transcriptome by performing a broad-spectrum RNA-seq analysis.The first international workshop on the epigenetics of osteoarthritis.Simulation-based comprehensive benchmarking of RNA-seq aligners.From reads to genes to pathways: differential expression analysis of RNA-Seq experiments using Rsubread and the edgeR quasi-likelihood pipelinemiARma-Seq: a comprehensive tool for miRNA, mRNA and circRNA analysis.The potential role of PHF6 as an oncogene: a genotranscriptomic/proteomic meta-analysis.Complete sequence-based pathway analysis by differential on-chip DNA and RNA extraction from a single cell.Selection and validation of reference genes for RT-qPCR analysis in potato under abiotic stress.Here We Are, But Where Do We Go? A Systematic Review of Crustacean Transcriptomic Studies from 2014-2015.New extension software modules to enhance searching and display of transcriptome data in Tripal databases.CORNAS: coverage-dependent RNA-Seq analysis of gene expression data without biological replicates.AP-2α and AP-2β cooperatively orchestrate homeobox gene expression during branchial arch patterning.Guanosine tetra- and pentaphosphate increase antibiotic tolerance by reducing reactive oxygen species production in Vibrio cholerae.All is balanced: inter-α-trypsin inhibitors as unseen extracellular matrix proteins in epidermal morphology and differentiation.GPCRomics: GPCR Expression in Cancer Cells and Tumors Identifies New, Potential Biomarkers and Therapeutic Targets.Mononuclear cell transcriptome changes associated with dimethyl fumarate in MSStudying Smaller and Neglected Organisms in Modern Evolutionary Venomics Implementing RNASeq (Transcriptomics)-A Critical GuideCommon and differential transcriptional responses to different models of traumatic stress exposure in rats
P2860
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P2860
RNA-Seq gene profiling--a systematic empirical comparison.
description
2014 nî lūn-bûn
@nan
2014 թուականի Սեպտեմբերին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի սեպտեմբերին հրատարակված գիտական հոդված
@hy
2014年の論文
@ja
2014年論文
@yue
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
@wuu
name
RNA-Seq gene profiling--a systematic empirical comparison.
@ast
RNA-Seq gene profiling--a systematic empirical comparison.
@en
type
label
RNA-Seq gene profiling--a systematic empirical comparison.
@ast
RNA-Seq gene profiling--a systematic empirical comparison.
@en
prefLabel
RNA-Seq gene profiling--a systematic empirical comparison.
@ast
RNA-Seq gene profiling--a systematic empirical comparison.
@en
P2860
P50
P1433
P1476
RNA-Seq gene profiling--a systematic empirical comparison.
@en
P2860
P304
P356
10.1371/JOURNAL.PONE.0107026
P407
P577
2014-09-30T00:00:00Z