Using a ChatGPT-like AI model, scientists have created a new map of the mouse brain that captures previously uncharted areas ...

Spatial transcriptomics and gene expression analysis represent a transformative approach in biomedical research, integrating the spatial context of tissues with high-resolution profiling of gene ...

Multi-omics integration enhances understanding of biological systems, revealing complex interactions through spatial ...

Biological tissues are made up of different cell types arranged in specific patterns, which are essential to their proper functioning. Understanding these spatial arrangements is important when ...

Called SOAR (Spatial transcriptOmics Analysis Resource), the now-live platform is a one-stop shop that helps scientists explore how genes behave differently in various parts of the body, shows them ...

This article explores how to generate high-quality transcriptomics data by optimizing each step, from experimental design and RNA extraction to library preparation sequencing and data analysis, to ...

Sponsored content brought to you by Biological systems are inherently three-dimensional—tissues form intricate layers, networks, and architectures where cells interact in ways that extend far beyond a ...

In a recent paper published on aBIOTECH, the authors integrated epigenomic, transcriptomic, and 3D genomic data to ...

The article highlights how large-scale and longitudinal studies, wearables and national data initiatives are advancing ...

Discover the biological significance of hidden RNAs and learn how to detect them in RNA-Seq data using advanced techniques.