Recent advances in single-cell technologies have enabled high-throughput molecular
profiling of cells across modalities and locations. Single-cell transcriptomics data can now …

Mass spectrometry is widely used for quantitative proteomics studies, relative protein
quantification, and differential expression analysis of proteins. There is a large variety of …

Background and aims Subcutaneous adipose tissue (SAT) dysfunction contributes to
NAFLD pathogenesis and may be influenced by the gut microbiota. Whether transcript …

Group heteroscedasticity is commonly observed in pseudo-bulk single-cell RNA-seq
datasets and its presence can hamper the detection of differentially expressed genes. Since …

edgeR is an R/Bioconductor software package for differential analyses of sequencing data
in the form of read counts for genes or genomic features. Over the past 15 years, edgeR has …

The generation and interpretation of results from transcriptome profiling experiments via
RNA sequencing (RNA‐seq) can be a complex task. While raw data quality control …

Top ocean predators such as marine mammals are threatened by intensifying
anthropogenic activity, and understanding the combined effects of multiple stressors on their …

Acute exercise elicits dynamic transcriptional changes that, when repeated, form the
fundamental basis of health, resilience, and performance adaptations. While moderate …

Aim Amyotrophic lateral sclerosis (ALS) is a heterogeneous neurodegenerative disease with
limited therapeutic options. A key factor limiting the development of effective therapeutics is …

DAList, a custom R class, which is used to hold the data, statistical design, and results for a
differential abundance analysis. Users import protein abundance data, protein annotation …