RNA-seq analysis is easy as 1-2-3 with limma, Glimma and edgeR.
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Reduced biological effect of e-cigarette aerosol compared to cigarette smoke evaluated in vitro using normalized nicotine dose and RNA-seq-based toxicogenomics.Dosage compensation and sex-specific epigenetic landscape of the X chromosome in the pea aphid.Whole Genome Expression Analysis in a Mouse Model of Tauopathy Identifies MECP2 as a Possible Regulator of Tau Pathology.The histone methyltransferases Set5 and Set1 have overlapping functions in gene silencing and telomere maintenance.recount workflow: Accessing over 70,000 human RNA-seq samples with Bioconductor.Male apoE*3-Leiden.CETP mice on high-fat high-cholesterol diet exhibit a biphasic dyslipidemic response, mimicking the changes in plasma lipids observed through life in men.Bioinformatics Analysis of Differential Innate Immune Signaling in Macrophages by Wild-Type Vaccinia Mature Virus and a Mutant Virus with a Deletion of the A26 Protein.TU-Tagging: A Method for Identifying Layer-Enriched Neuronal Genes in Developing Mouse Visual Cortex.Easy and efficient ensemble gene set testing with EGSEA.Correct microarray analysis approaches in 'Hsa-circRNA11783-2 in peripheral blood is correlated with coronary artery disease and type 2 diabetes mellitus'.Bioinformatics Analysis in Identification of Key Gene Modules of Neuropathic Pain.Letter to the Editor: Bioinformatics Analysis in Downstream Genes of the mTOR Pathway to Predict Recurrence and Progression of Bladder Cancer.Bioinformatics analysis in menopause transition promotes distinct modulation in calvaria and bone marrow osteoblastic cells.Transcriptome variations among human embryonic stem cell lines are associated with their differentiation propensity.In vitro RNA-seq-based toxicogenomics assessment shows reduced biological effect of tobacco heating products when compared to cigarette smoke.Closha: bioinformatics workflow system for the analysis of massive sequencing data.Identification of novel response and predictive biomarkers to Hsp90 inhibitors through mass spectrometry-based proteomic profiling of patient-derived prostate tumor explants.Variation in the Early Host-Pathogen Interaction of Bovine Macrophages with Divergent Mycobacterium bovis Strains in the United Kingdom.Murine HPV16 E7-expressing transgenic skin effectively emulates the cellular and molecular features of human high-grade squamous intraepithelial lesions.Fast Evolution and Lineage-Specific Gene Family Expansions of Aphid Salivary Effectors Driven by Interactions with Host-Plants.ADIPOR1 is essential for vision and its RPE expression is lost in the Mfrp mouseNdr kinases regulate retinal interneuron proliferation and homeostasisDevelopmental Dynamics of Long Noncoding RNA Expression during Sexual Fruiting Body Formation in Fusarium graminearumNovel three‑lncRNA signature predicts survival in patients with pancreatic cancer
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P2860
RNA-seq analysis is easy as 1-2-3 with limma, Glimma and edgeR.
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article científic
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article scientifique
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articolo scientifico
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artigo científico
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bilimsel makale
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scientific article published on 17 June 2016
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vedecký článok
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vetenskaplig artikel
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videnskabelig artikel
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vědecký článek
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name
RNA-seq analysis is easy as 1-2-3 with limma, Glimma and edgeR.
@en
RNA-seq analysis is easy as 1-2-3 with limma, Glimma and edgeR.
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type
label
RNA-seq analysis is easy as 1-2-3 with limma, Glimma and edgeR.
@en
RNA-seq analysis is easy as 1-2-3 with limma, Glimma and edgeR.
@nl
prefLabel
RNA-seq analysis is easy as 1-2-3 with limma, Glimma and edgeR.
@en
RNA-seq analysis is easy as 1-2-3 with limma, Glimma and edgeR.
@nl
P2093
P2860
P50
P1433
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RNA-seq analysis is easy as 1-2-3 with limma, Glimma and edgeR.
@en
P2093
Charity W Law
Xueyi Dong
P2860
P356
10.12688/F1000RESEARCH.9005.2
10.12688/F1000RESEARCH.9005.3
P577
2016-06-17T00:00:00Z