Machine learning (ML), particularly deep learning (DL), has made rapid and substantial
progress in synthetic biology in recent years. Biotechnological applications of biosystems …

Gene regulation is a central topic in cell biology. Advances in omics technologies and the
accumulation of omics data have provided better opportunities for gene regulation studies …

Comprehensive genome annotation is essential to understand the impact of clinically
relevant variants. However, the absence of a standard for clinical reporting and browser …

Sequence-based machine-learning models trained on genomics data improve genetic
variant interpretation by providing functional predictions describing their impact on the cis …

How enhancers control target gene expression over long genomic distances remains an
important unsolved problem. Here we investigated enhancer–promoter communication by …

To date, single-cell studies of human white adipose tissue (WAT) have been based on small
cohort sizes and no cellular consensus nomenclature exists. Herein, we performed a …

INTRODUCTION The brain is the most complex organ of the mammalian body, boasting a
diverse physiology combined with intricate cellular organization. In an effort to expand our …

Background The largest sequence-based models of transcription control to date are
obtained by predicting genome-wide gene regulatory assays across the human genome …

Single-cell RNA sequencing is an increasingly used method to measure gene expression at
the single cell level and build cell-type atlases of tissues. Hundreds of single-cell …

Abstract The Long-read RNA-Seq Genome Annotation Assessment Project Consortium was
formed to evaluate the effectiveness of long-read approaches for transcriptome analysis …