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

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

Since the official release of the stand-alone bioinformatics toolkit TBtools in 2020, its
superior functionality in data analysis has been demonstrated by its widespread adoption by …

Identifying and characterizing mobile genetic elements in sequencing data is essential for
understanding their diversity, ecology, biotechnological applications and impact on public …

All living things experience an increase in entropy, manifested as a loss of genetic and
epigenetic information. In yeast, epigenetic information is lost over time due to the …

Hepatocellular carcinoma (HCC) can have viral or non-viral causes,,,–. Non-alcoholic
steatohepatitis (NASH) is an important driver of HCC. Immunotherapy has been approved …

Single-cell transcriptomics has transformed our ability to characterize cell states, but deep
biological understanding requires more than a taxonomic listing of clusters. As new methods …

A complete understanding of how exposure to environmental substances promotes cancer
formation is lacking. More than 70 years ago, tumorigenesis was proposed to occur in a two …

Abstract N 6-methyladenosine (m6A) is an abundant internal RNA modification, that is
catalysed predominantly by the METTL3–METTL14 methyltransferase complex,. The m6A …

Differential abundance (DA) analysis of microbiome data continues to be a challenging
problem due to the complexity of the data. In this article we define the notion of “sampling …