<p>A comparison of RNA-seq FPKM and exon array RMA intensity values for the 17,151 genes detected using both methods in HepG2 control cells (<i>R</i> = 0.81) is shown. Significantly differentially expressed genes identified by RNA-seq are highlighted in red.</p
RNA-Seq is a powerful tool for the study of alternative splicing and other forms of alternative isof...
<div><p>RNAseq and microarray methods are frequently used to measure gene expression level. While si...
Many methods have been used to determine differential gene expression from single-cell RNA (scRNA)-s...
<div><p>In recent years, RNA-seq is emerging as a powerful technology in estimation of gene and/or t...
<p>Comparison between RNA-Seq and microarray platforms across 8621 human and 5467 mouse genes from a...
<p>Genes identified by RNA-seq analysis as most highly expressed in K14+ compared to K14− cells.</p
<p>A) Volcano plot of DESEQ results showing gene expression changes. Genes that were changed greater...
Molecular analyses of normal and diseased cells give insight into changes in gene expression and hel...
<p>Scatter plots of log2 transformed ratios (vs. baseline at T = 0 h) between both platforms at sele...
<p>(A) Overlap between differentially expressed genes identified from microarray data (Lee et al.) a...
<p>Comparison between RNA-Seq and RT-qPCR across 170 human and 174 mouse genes from a Calu-6 human x...
Background. A common research goal in transcriptome projects is to find genes that are differentiall...
RNAseq and microarray methods are frequently used to measure gene expression level. While similar in...
As a revolutionary technology for life sciences, RNA-seq has many applications and the computation p...
We examined RNA-Seq data on 211 biological samples from 24 different Arabidopsis experiments carried...
RNA-Seq is a powerful tool for the study of alternative splicing and other forms of alternative isof...
<div><p>RNAseq and microarray methods are frequently used to measure gene expression level. While si...
Many methods have been used to determine differential gene expression from single-cell RNA (scRNA)-s...
<div><p>In recent years, RNA-seq is emerging as a powerful technology in estimation of gene and/or t...
<p>Comparison between RNA-Seq and microarray platforms across 8621 human and 5467 mouse genes from a...
<p>Genes identified by RNA-seq analysis as most highly expressed in K14+ compared to K14− cells.</p
<p>A) Volcano plot of DESEQ results showing gene expression changes. Genes that were changed greater...
Molecular analyses of normal and diseased cells give insight into changes in gene expression and hel...
<p>Scatter plots of log2 transformed ratios (vs. baseline at T = 0 h) between both platforms at sele...
<p>(A) Overlap between differentially expressed genes identified from microarray data (Lee et al.) a...
<p>Comparison between RNA-Seq and RT-qPCR across 170 human and 174 mouse genes from a Calu-6 human x...
Background. A common research goal in transcriptome projects is to find genes that are differentiall...
RNAseq and microarray methods are frequently used to measure gene expression level. While similar in...
As a revolutionary technology for life sciences, RNA-seq has many applications and the computation p...
We examined RNA-Seq data on 211 biological samples from 24 different Arabidopsis experiments carried...
RNA-Seq is a powerful tool for the study of alternative splicing and other forms of alternative isof...
<div><p>RNAseq and microarray methods are frequently used to measure gene expression level. While si...
Many methods have been used to determine differential gene expression from single-cell RNA (scRNA)-s...