Using meta-analysis, high-dimensional transcriptome expression data from public repositories can be merged to make group comparisons that have not been considered in the original studies. Merging of...
Read More »Limitation of alignment-free tools in total RNA-seq quantification
Alignment-free RNA quantification tools have significantly increased the speed of RNA-seq analysis. However, it is unclear whether these state-of-the-art RNA-seq analysis pipelines can quantify...
Read More »LFC – a count ratio model to estimate fold changes
Various biases affect high-throughput sequencing read counts. Contrary to the general assumption, researchers from Ludwig-Maximilians-University Munich show that bias does not always cancel out when fold changes are computed and that bias affects more than 20% of genes that are ...
Read More »DESeq2 – moderated estimation of fold change and dispersion for RNA-Seq data
In comparative high-throughput sequencing assays, a fundamental task is the analysis of count data, such as read counts per gene in RNA-seq, for evidence of systematic changes across experimental conditions. Small replicate numbers, discreteness, large dynamic range and the presence ...
Read More »The correlation coefficient alone is not sufficient to assess equality among sample replicates
Reliability and reproducibility are key metrics for gene expression assays. This report assesses the utility of the correlation coefficient in the analysis of reproducibility and reliability of gene expression data. The correlation coefficient alone is not sufficient to assess equality ...
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