<p>The left panel shows uncorrected counts, and the right shows counts after correction. Poisson distributed counts would follow a straight line; all experiments show significant deviation from linearity that is corrected by Fixseq.</p
<p>Here we depict the false discovery rate of RNA-DNA sequence difference detection under various th...
<p>We show a plot of the distribution of the p-values of all SNPs (20 of them are causal) for each o...
<p>Box and whisker plots showing 25<sup>th</sup>, 50<sup>th</sup> and 75<sup>th</sup> percentiles, u...
Background. A number of algorithms exist for analysing RNA-sequencing data to infer profiles of diff...
We show that existing RNA-seq, DNase-seq, and ChIP-seq data exhibit overdispersed per-base read coun...
The observed numbers of clones, adjusted or raw, are listed for comparison. Calculations were carrie...
<p>Identical mutant libraries were prepared for sequencing using three different PCR methods. The nu...
<div><p>We show that existing RNA-seq, DNase-seq, and ChIP-seq data exhibit overdispersed per-base r...
<p>(A) A density plot of the expected distribution of fragment lengths, with peaks at 124 and 142 bp...
Background: High-throughput RNA sequencing (RNA-seq) offers unprecedented power to capture the real ...
Description Statistical tools for ChIP-seq data analysis. The package includes the statistical metho...
RNA-Seq is a highly sensitive and accurate sequencing technique that uses next-generation sequencing...
A basic task in the analysis of count data from RNA-seq is the detection of differentially expressed...
Abstract Background mRNA expression data from next generation sequencing platforms is obtained in th...
<p>This plot overlays the expected range between the 1–99% quantiles for with observed range of co...
<p>Here we depict the false discovery rate of RNA-DNA sequence difference detection under various th...
<p>We show a plot of the distribution of the p-values of all SNPs (20 of them are causal) for each o...
<p>Box and whisker plots showing 25<sup>th</sup>, 50<sup>th</sup> and 75<sup>th</sup> percentiles, u...
Background. A number of algorithms exist for analysing RNA-sequencing data to infer profiles of diff...
We show that existing RNA-seq, DNase-seq, and ChIP-seq data exhibit overdispersed per-base read coun...
The observed numbers of clones, adjusted or raw, are listed for comparison. Calculations were carrie...
<p>Identical mutant libraries were prepared for sequencing using three different PCR methods. The nu...
<div><p>We show that existing RNA-seq, DNase-seq, and ChIP-seq data exhibit overdispersed per-base r...
<p>(A) A density plot of the expected distribution of fragment lengths, with peaks at 124 and 142 bp...
Background: High-throughput RNA sequencing (RNA-seq) offers unprecedented power to capture the real ...
Description Statistical tools for ChIP-seq data analysis. The package includes the statistical metho...
RNA-Seq is a highly sensitive and accurate sequencing technique that uses next-generation sequencing...
A basic task in the analysis of count data from RNA-seq is the detection of differentially expressed...
Abstract Background mRNA expression data from next generation sequencing platforms is obtained in th...
<p>This plot overlays the expected range between the 1–99% quantiles for with observed range of co...
<p>Here we depict the false discovery rate of RNA-DNA sequence difference detection under various th...
<p>We show a plot of the distribution of the p-values of all SNPs (20 of them are causal) for each o...
<p>Box and whisker plots showing 25<sup>th</sup>, 50<sup>th</sup> and 75<sup>th</sup> percentiles, u...
DOI
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