Comparative analysis of RNA sequencing methods for degraded or low-input samples. - Test2 - elhamkhani - TriplyDB

Comparative analysis of RNA sequencing methods for degraded or low-input samples.

Comparative analysis of RNA sequencing methods for degraded or low-input samples.

http://www.wikidata.org/entity/Q34345427

about

IVT-seq reveals extreme bias in RNA sequencing RNA-Seq methods for transcriptome analysis Analysis of Whole Transcriptome Sequencing Data: Workflow and Software miRNA-based therapies: strategies and delivery platforms for oligonucleotide and non-oligonucleotide agents miRNA dysregulation in cancer: towards a mechanistic understanding mRNA capping: biological functions and applications A comparison of sperm RNA-seq methods Capture 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 RNA An optimized protocol for generation and analysis of Ion Proton sequencing reads for RNA-Seq Informatics 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 data RNA Sequencing of Formalin-Fixed, Paraffin-Embedded Specimens for Gene Expression Quantification and Data Mining Comprehensive evaluation and optimization of amplicon library preparation methods for high-throughput antibody sequencing Selective 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 myeloma Increasing quality, throughput and speed of sample preparation for strand-specific messenger RNA sequencing.qSVA framework for RNA quality correction in differential expression analysis DMS-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 RNA 24-hour rhythms of DNA methylation and their relation with rhythms of RNA expression in the human dorsolateral prefrontal cortex Depletion 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-seq Analysis of stranded information using an automated procedure for strand specific RNA sequencing Enhanced methods for unbiased deep sequencing of Lassa and Ebola RNA viruses from clinical and biological samples.

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Comparative analysis of RNA sequencing methods for degraded or low-input samples.

http://www.wikidata.org/entity/Q34345427

description

2013 nî lūn-bûn

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2013 թուականի Մայիսին հրատարակուած գիտական յօդուած

@hyw

2013 թվականի մայիսին հրատարակված գիտական հոդված

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2013年の論文

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2013年論文

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2013年論文

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2013年論文

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2013年論文

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2013年論文

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2013年论文

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name

Comparative analysis of RNA sequencing methods for degraded or low-input samples.

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Comparative analysis of RNA sequencing methods for degraded or low-input samples.

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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

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Michele A Busby

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Timothy Fennell

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Ultrafast and memory-efficient alignment of short DNA sequences to the human genome

Purification of biologically active globin messenger RNA by chromatography on oligothymidylic acid-cellulose

Characterization of the single-cell transcriptional landscape by highly multiplex RNA-seq

Full-length mRNA-Seq from single-cell levels of RNA and individual circulating tumor cells.

Fast and accurate short read alignment with Burrows-Wheeler transform

TopHat: discovering splice junctions with RNA-Seq

Normalization for cDNA microarray data: a robust composite method addressing single and multiple slide systematic variation.

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RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome

Two methods for full-length RNA sequencing for low quantities of cells and single cells

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