With biotechnological advancements, innovative omics technologies are constantly
emerging that have enabled researchers to access multi-layer information from the genome …

Recent progress in engineering highly promising biocatalysts has increasingly involved
machine learning methods. These methods leverage existing experimental and simulation …

Joint profiling of chromatin accessibility and gene expression in individual cells provides an
opportunity to decipher enhancer-driven gene regulatory networks (GRNs). Here we present …

Abstract JASPAR (https://jaspar. elixir. no/) is a widely-used open-access database
presenting manually curated high-quality and non-redundant DNA-binding profiles for …

Chromatin accessibility is integral to the process by which transcription factors (TFs) read out
cis-regulatory DNA sequences, but it is difficult to differentiate between TFs that drive …

The incorporation of machine learning methods into proteomics workflows improves the
identification of disease-relevant biomarkers and biological pathways. However, machine …

Emotions are a critical aspect of daily life and serve a crucial role in human decision-making,
planning, reasoning, and other mental states. As a result, they are considered a significant …

In population genetics, the emergence of large-scale genomic data for various species and
populations has provided new opportunities to understand the evolutionary forces that drive …

Transcription initiation is a process that is essential to ensuring the proper function of any
gene, yet we still lack a unified understanding of sequence patterns and rules that explain …

As data-driven science, artificial intelligence (AI) has paved a promising path toward an
evolving health system teeming with thrilling opportunities for precision oncology …