CRISPR screens are a powerful source of biological discovery, enabling the unbiased
interrogation of gene function in a wide range of applications and species. In pooled …

With the advent of multiomics, software capable of multidimensional enrichment analysis
has become increasingly crucial for uncovering gene set variations in biological processes …

Profiling samples from patients, tissues, and cells with genomics, transcriptomics,
epigenomics, proteomics, and metabolomics ultimately produces lists of genes and proteins …

Trait-associated genetic variants affect complex phenotypes primarily via regulatory
mechanisms on the transcriptome. To investigate the genetics of gene expression, we …

Gene set enrichment (GSE) analysis plays an essential role in extracting biological insight
from genome-scale experiments. ORA (overrepresentation analysis), FCS (functional class …

A critical component in the interpretation of systems-level studies is the inference of enriched
biological pathways and protein complexes contained within OMICs datasets. Successful …

Cardiovascular disease is the leading cause of death worldwide. Advanced insights into
disease mechanisms and therapeutic strategies require a deeper understanding of the …

Biological data analysis often deals with lists of genes arising from various studies. The g:
Profiler toolset is widely used for finding biological categories enriched in gene lists …

The liver is the largest solid organ in the body, yet it remains incompletely characterized.
Here we present a spatial proteogenomic atlas of the healthy and obese human and murine …

The emerging diversity of single-cell RNA-seq datasets allows for the full transcriptional
characterization of cell types across a wide variety of biological and clinical conditions …