Comparative analysis of RNA sequencing methods for degraded or low-input samples.
about
IVT-seq reveals extreme bias in RNA sequencingRNA-Seq methods for transcriptome analysisAnalysis of Whole Transcriptome Sequencing Data: Workflow and SoftwaremiRNA-based therapies: strategies and delivery platforms for oligonucleotide and non-oligonucleotide agentsmiRNA dysregulation in cancer: towards a mechanistic understandingmRNA capping: biological functions and applicationsA comparison of sperm RNA-seq methodsCapture and Amplification by Tailing and Switching (CATS). An ultrasensitive ligation-independent method for generation of DNA libraries for deep sequencing from picogram amounts of DNA and RNAAn optimized protocol for generation and analysis of Ion Proton sequencing reads for RNA-SeqInformatics for RNA Sequencing: A Web Resource for Analysis on the Cloud.Fluorescent in situ sequencing (FISSEQ) of RNA for gene expression profiling in intact cells and tissues.Comparison of library preparation methods reveals their impact on interpretation of metatranscriptomic data.WemIQ: an accurate and robust isoform quantification method for RNA-seq data.mRIN for direct assessment of genome-wide and gene-specific mRNA integrity from large-scale RNA-sequencing data.Measure transcript integrity using RNA-seq dataRNA Sequencing of Formalin-Fixed, Paraffin-Embedded Specimens for Gene Expression Quantification and Data MiningComprehensive evaluation and optimization of amplicon library preparation methods for high-throughput antibody sequencingSelective and flexible depletion of problematic sequences from RNA-seq libraries at the cDNA stage.Building a pipeline to discover and validate novel therapeutic targets and lead compounds for Alzheimer's disease.Developmental transcriptome profiling of bovine muscle tissue reveals an abundant GosB that regulates myoblast proliferation and apoptosis.Optimized Method for Robust Transcriptome Profiling of Minute Tissues Using Laser Capture Microdissection and Low-Input RNA-Seq.Comparison of RNA-Seq by poly (A) capture, ribosomal RNA depletion, and DNA microarray for expression profiling.Terminator oligo blocking efficiently eliminates rRNA from Drosophila small RNA sequencing libraries.Efficient and unbiased metagenomic recovery of RNA virus genomes from human plasma samples.Inhibiting the osteocyte-specific protein sclerostin increases bone mass and fracture resistance in multiple myelomaIncreasing quality, throughput and speed of sample preparation for strand-specific messenger RNA sequencing.qSVA framework for RNA quality correction in differential expression analysisDMS-MaPseq for genome-wide or targeted RNA structure probing in vivo.Prognostic B-cell signatures using mRNA-seq in patients with subtype-specific breast and ovarian cancer.Applying thiouracil tagging to mouse transcriptome analysis.Functionally diverse dendritic mRNAs rapidly associate with ribosomes following a novel experience.Multi-platform assessment of transcriptome profiling using RNA-seq in the ABRF next-generation sequencing study.Transcriptome in vivo analysis (TIVA) of spatially defined single cells in live tissue.Assessing technical performance in differential gene expression experiments with external spike-in RNA control ratio mixtures.Evaluation of commercially available RNA amplification kits for RNA sequencing using very low input amounts of total RNA24-hour rhythms of DNA methylation and their relation with rhythms of RNA expression in the human dorsolateral prefrontal cortexDepletion of Abundant Sequences by Hybridization (DASH): using Cas9 to remove unwanted high-abundance species in sequencing libraries and molecular counting applications.The impact of amplification on differential expression analyses by RNA-seqAnalysis of stranded information using an automated procedure for strand specific RNA sequencingEnhanced methods for unbiased deep sequencing of Lassa and Ebola RNA viruses from clinical and biological samples.
P2860
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P2860
Comparative analysis of RNA sequencing methods for degraded or low-input samples.
description
2013 nî lūn-bûn
@nan
2013 թուականի Մայիսին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի մայիսին հրատարակված գիտական հոդված
@hy
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
name
Comparative analysis of RNA sequencing methods for degraded or low-input samples.
@ast
Comparative analysis of RNA sequencing methods for degraded or low-input samples.
@en
Comparative analysis of RNA sequencing methods for degraded or low-input samples.
@nl
type
label
Comparative analysis of RNA sequencing methods for degraded or low-input samples.
@ast
Comparative analysis of RNA sequencing methods for degraded or low-input samples.
@en
Comparative analysis of RNA sequencing methods for degraded or low-input samples.
@nl
prefLabel
Comparative analysis of RNA sequencing methods for degraded or low-input samples.
@ast
Comparative analysis of RNA sequencing methods for degraded or low-input samples.
@en
Comparative analysis of RNA sequencing methods for degraded or low-input samples.
@nl
P2093
P2860
P50
P356
P1433
P1476
Comparative analysis of RNA sequencing methods for degraded or low-input samples.
@en
P2093
Aaron M Berlin
Alec Wysoker
Andreas Gnirke
Andrey Sivachenko
David S DeLuca
Dawn Anne Thompson
Diego Borges-Rivera
Joshua Z Levin
Michele A Busby
Timothy Fennell
P2860
P2888
P304
P356
10.1038/NMETH.2483
P577
2013-05-19T00:00:00Z
P5875
P6179
1033028450