RNA sequencing (RNA-seq) and analysis
Strand-specific libraries for high throughput RNA sequencing (RNA-Seq) prepared without poly(A) selection
... good RNA-Seq library should have a narrow size range, retain strand information, and contain little RNA contamination from other species and few inserts from ribosomal ...put sequencing ...
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CRAC: an integrated approach to the analysis of RNA-seq reads
... tissues. RNA sequencing (RNA-seq) provides genome-scale access to the RNA complement of a cell with unprecedented depth, and has therefore proven useful in unraveling the complexity of ...
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Natural Killer (NK) cell receptor expression in cattle: development of a pipeline for accurate quantification of RNA Sequencing (RNA-Seq) data
... Transcriptional analysis of the full repertoire of known cattle LRC/NKC genes has been carried out in multiple ...NK RNA-Seq datasets from 5 individual cattle analysed here, transcription of all of ...
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IVT seq reveals extreme bias in RNA sequencing
... this RNA was mixed with complex mouse total RNA at various concentrations, and sequenced using the two most common RNA-seq protocols, polyA-seq or total RNA-seq, on the ...
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A detailed protocol for subcellular RNA sequencing (subRNA-seq)
... standard RNA-seq method relies on the preparation of whole-cell lysates prior to RNA ...given RNA is ...in sequencing libraries that are dominated by fully processed stable RNAs that ...
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Statistical analysis of RNA-seq data from next-generation sequencing technology
... We have provided a framework for building the approximated most average-powerful (AMAP) test that can be used to compare gene (Chapter 2 ) or exon (Chapter 3 ) expressions from RNA-seq data. Compared with ...
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Bioinformatics for RNA‐Seq Data Analysis
... degraded RNA. After quality and quantity of the RNA samples have been addressed, one must then choose whether to profile the total RNA space or the mRNA space ...most RNA‐seq library ...
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VIPER: Visualization Pipeline for RNA-seq, a Snakemake workflow for efficient and complete RNA-seq analysis
... downstream analysis, where all of the various differential expression analyses are done in a fashion that maximizes the use of the provided computational ...
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Determining sequencing depth in a single-cell RNA-seq experiment
... different sequencing depths while the plug- in estimator is ...different sequencing depths, where we can see clear inflation for the plug-in ...hoc analysis showed that CVs of genes below this level ...
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RNA-Seq Analysis in Fruit Science: A Review
... principle, RNA-Seq allows analysis of all expressed transcripts, with three key goals: (i) annotating the structures of all transcribed genes including their 5′ and 3′ ends and all splice junctions ...
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Computational analysis of bacterial RNA-Seq data
... gonorrhoeae RNA-seq experiments. The N. gonorrhoeae RNA-seq experiments, in contrast to our RNA-seq experiments in other bacteria, generated a shorter read length (36 nt as ...
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Sensitive and powerful single-cell RNA sequencing using mcSCRB-seq
... mcSCRB-seq detects biological differences in complex tissues. Finally, we applied mcSCRB-seq to peripheral blood mono- nuclear cells (PBMCs), a complex cell population with low mRNA amounts, to test whether ...
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RNA-seq: impact of RNA degradation on transcript quantification
... of RNA degradation on the relative expression level of most genes can be cor- rected, to a large degree, using relatively simple statis- tical ...(when RNA quality was excellent), but were originally ...
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RNA CoMPASS: RNA Comprehensive Multi-Processor Analysis System for Sequencing
... Next-generation sequencing (NGS) technology or High-throughput sequencing (HTS) technology is rapidly becoming transformative in many areas of biology because NGS has significantly improved throughput and ...
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TAC-seq: targeted DNA and RNA sequencing for precise biomarker molecule counting
... number of studied molecules and are biased by PCR uneven ampli fication. To overcome ampli fication bias in NGS and to maximize nucleic acid detection sensitivity, unique molecular identi fiers (UMIs, known also as ...
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A survey of best practices for RNA seq data analysis
... Gene fusion discovery The discovery of fused genes that can arise from chromosomal rearrangements is analogous to novel iso- form discovery, with the added challenge of a much lar- ger search space as we can no longer ...
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CRAC: an integrated approach to the analysis of RNA seq reads
... analyzing RNA-seq data. In a single run it can predict sequencing errors, small mutations, and normal and chimeric splice junc- tions (collectively termed ...
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Differential analysis of RNA-seq incorporating quantification uncertainty
... Supplementary Figure SN21: Zoomed in version of performance on independent effect sim- ulation number 1 at the isoform level looking at kallisto-sleuth and RSEM-sleuth. 8 Null experiment We performed a null experiment to ...
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EDASeq: Exploratory Data Analysis and Normalization for RNA-Seq
... expression analysis with DESeq based on the normalized counts by using the coerce method from the SeqExpressionSet class to the CountDataSet class of ...lane sequencing depths have already been accounted ...
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Novel methods in transcriptome analysis using RNA-seq
... subtypes in honey bee. Also, we quantitatively analyzed various factors correlated with AS based on the high coverage sequencing data. The exon-intron structure, strengths of splice sites and the methylation ...
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