Understand the stages of a standard RNA-seq bioinformatics workflow, including the role of QC, alignment, gene expression quantification, and specialized application analyses Identify key QC metrics ...

Samples are commonly stored in a way that degrades RNA. Scientists are devising new ways to overcome this obstacle for RNA sequencing. RNA is more subject to degradation than DNA, whether chemical, ...

A comprehensive review article titled “Bioinformatics perspectives on transcriptomics: A comprehensive review of bulk and single-cell RNA sequencing analyses,” published in Quantitative Biology, ...

A Snakemake-based pipeline called Pipeasm automates key steps of genome assembly, from raw read trimming through scaffolding and contamination screening, and the authors report up to 99.6% BUSCO ...

Although there are striking differences between the cells that make up your eyes, kidneys, brain and toes, the DNA blueprint for these cells is essentially the same. Where do those differences come ...

An individual’s genome is identifiable. But datasets of RNA sequences from single cells are like a blurry photocopy of the genome. The sequence numbers are small, the data are noisy, and the sequences ...