Sequencing data are easier to generate than ever, but analyzing them correctly remains difficult. Many research groups now receive FASTQ files, count tables, genome assemblies or metagenomic datasets from …

Differential gene expression analysis is one of the most common outputs of RNA-seq experiments. After running tools such as DESeq2, edgeR or limma-voom, researchers often receive a table containing …

Metagenome-assembled genomes, or MAGs, are one of the most useful outputs of shotgun metagenomics. Instead of only asking which organisms are present, MAGs allow researchers to reconstruct draft genomes …