Empirical assessment of the impact of sample number and read depth on RNA-Seq analysis workflow performance

December 27, 2018 Leave a comment 1,862 Views

RNA-Sequencing analysis methods are rapidly evolving, and the tool choice for each step of one common workflow, differential expression analysis, which includes read alignment, expression modeling...

RNA-Seq Blog Transcriptome Research & Industry News

Tag Archives: Sample number

Empirical assessment of the impact of sample number and read depth on RNA-Seq analysis workflow performance

Transcriptomic entropy – a biologically relevant and interpretable metric for quantifying PSC-derived tissue maturation

Single-cell analysis of human skin identifies new cell type

NIH scientists build a cellular blueprint of multiple sclerosis lesions

RNA sequencing provides insights into the cellular and molecular changes in male infertility

The MAQC Society announces publication of a collection of next-gen sequencing best practice articles

New research provides useful genetic resource on farm-raised kuruma shrimp

Rutgers neurologist explores link between COVID and ‘Brain Fog,’ dementia with MRI and RNA sequencing