Transcriptomic data is accumulating rapidly; thus, scalable methods for extracting
knowledge from this data are critical. Here, we assembled a top-down expression and …

Public gene expression databases are a rapidly expanding resource of organism responses
to diverse perturbations, presenting both an opportunity and a challenge for bioinformatics …

Mammalian spermatogenesis shows prominent chromatin and transcriptomic switches in
germ cells, but it is unclear how such dynamics are controlled. Here we identify RNA …

Recent advances in single-cell RNA sequencing have shown heterogeneous cell types and
gene expression states in the non-cancerous cells in tumors. The integration of multiple …

We are firmly in the era of biological big data. Millions of omics datasets are publicly
accessible and can be employed to support scientific research or build a holistic view of an …

The transition from meiotic spermatocytes to postmeiotic haploid germ cells constitutes an
essential step in spermatogenesis. The epigenomic regulatory mechanisms underlying this …

Background Recent developments in single-cell RNA sequencing have opened up a
multitude of possibilities to study tissues at the level of cellular populations. However, the …

Single-cell RNA-Sequencing has the potential to provide deep biological insights by
revealing complex regulatory interactions across diverse cell phenotypes at single-cell …

The highly polygenic and pleiotropic nature of behavioural traits, psychiatric disorders and
structural and functional brain phenotypes complicate mechanistic interpretation of related …

Uncovering the structure of the transcriptional regulatory network (TRN) that modulates gene
expression in prokaryotes remains an important challenge. Transcriptomics data is plentiful …