Examples of 'rna-seq' in a sentence
Meaning of "rna-seq"
RNA-Seq - a noun acronym referring to a technique used in molecular biology to analyze gene expression levels in cells or tissues
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- RNA sequencing, a biological technology based on the sequencing of RNA.
How to use "rna-seq" in a sentence
Basic
Advanced
rna-seq
Methods of RNA-seq are very similar to genome sequencing.
A variety of parameters are considered when designing and conducting RNA-Seq experiments,.
Analysis of rna-seq data with different numbers of factors and replicates.
This tool allows to determine a wide variety of splicing junctions, independently of RNA-seq systems used.
The rna-seq technology show to be revolutionary for gene expression studies.
One way to ease into the RNA-seq era is to outsource the process.
The RNA-seq results of these lncRNAs were technically and biologically replicable.
So why is the groundless myth that RNA-Seq is better than microarray so spread out?
The annotated genome has been updated to a high quality modern standard and includes RNA-seq data.
Quality control method for RNA-seq using single nucleotide polymorphism allele frequency.
RNA-Seq was performed to generate gene expression profiles of mESCs.
Common techniques for measuring expression are quantitative PCR or RNA-seq.
We performed RNA-seq to identify novel downstream effectors of Slik.
I have been exposed to advanced NGS methodologies especially in the area of RNA-Seq.
The Illumina TruSeq stranded RNA-seq library preparation kit is used.
See also
RNA-Seq was used to measure the expression level of mouse and rat genes.
RNA samples were shipped on dry ice for RNA-Seq analysis on an Illumina HiSeq machine.
Gene Expression - RNA-Seq and expression arrays identify expression levels or protein coding genes.
KisSplice is a software that enables to analyse RNA-seq data with or without a reference genome.
Using Illumina RNA-seq technologies, we compared transcriptomes of Meloidogyne incognita during its life cycle.
NURD NURD an implementation of a new method to estimate isoform expression from non-uniform RNA-seq data.
RNA-seq data from both low and high passage HMECs is also depicted for each gene.
Eventually, we unravelled genetic networks controlled by MAW and MAWB trough RNA-Seq analysis.
RNA-seq data showed that IR strongly deregulates the HSC transcriptome.
The standard software tools from CLC Genomics Workbench were used for RNA-Seq analysis.
Evaluation with RNA-Seq datasets.
Integrated analysis of TCGA READ methylation and RNA-Seq data.
How to know that your RNA-seq is stranded or not?
Example 4, RNA-seq reveals differential expression at significantly higher resolution.
Experience with RNA-Seq.
Rna-seq is a recent high-throughput, high resolution and low cost methodology.
Data quality of RNA-seq.
RNA-seq data utilized in this study were pre-processed as follows.
In the second study, researchers also took advantage of RNA-seq technology.
Another advantage of RNA-seq is to resolve gene expression on the exon level ( Figure 4 ).
After 6 hours co-culture, the rna extracted from dendritic cells were sequenced by rna-seq.
We also compare our RNA-Seq results to the microarray data of human Th17 cells.
In reality, for the above mentioned reason, this is unfortunately not suitable for RNA-seq.
RNA-seq on leading sequencing platform.
Example 3, Increase in overall transcriptome information by RNA-seq.
RNA-seq analysis uncovered a significant role for Rli47 in modulating amino acid metabolism.
Getting started with RNA-Seq analysis ( bulk and single cell ).
RNA-seq in patient derived ex-vivo models, genetic diagnostics beyond whole exomes Project Leader.
A human transcriptome could be accurately captured using RNA-Seq with 30 million 100 bp sequences per sample.
Recent advances in RNA-Seq include single cell sequencing and in situ sequencing of fixed tissue. [6].
Figure 11, Detection of classical macrophage genes by RNA-seq.
Figure 9, Comparison of RNA-seq and microarray analysis.
Brennecke, P. et al . Accounting for technical noise in single-cell RNA-seq experiments.
Figures 49 A-C depict the RNA-seq data of cells with sgRNAs that target different genes.
RNA-Seq data analysis.
