This article explores how single-cell multiomics and spatial transcriptomics are illuminating early pregnancy, uncovering ...

Scientists at Duke-NUS Medical School have developed two powerful computational tools that could transform how researchers ...

For several years, researchers in Würzburg have been using state-of-the-art single-cell analysis to study individual cells.

New research has mapped the cell types that specialize to form reproductive organs in both sexes, identifying key genes and ...

TileDB today announced the launch of TileDB Carrara, the omnimodal data intelligence platform, as a Snowflake Connected App for Healthcare & Life Sciences. This integration enables organizations to ...

This article explores how researchers are using spatially resolved methods to explore diverse biological processes from ...

Delaram Pouyabahar is a Canadian based computational biologist whose planned postdoctoral move to Harvard University collapsed after a new US travel b ...

The rapid expansion of high-throughput sequencing technologies has generated unprecedented amounts of multi-omics data, essential to advancing research in biodiversity, evolution, agriculture, ...

A detailed description of the pipeline, methods, and results can be found in the following article: Giraud-Sauveur, F. et al. STHELAR, a multi-tissue dataset linking spatial transcriptomics and ...

This repository provides a comprehensive and reproducible suite of R scripts for analyzing Spatial Transcriptomics (ST) data. It compares the performance and results of Seurat and Giotto, and ...

Hepatocellular carcinoma (HCC) remains one of the leading causes of cancer-related mortality worldwide, characterized by increasing incidence rates and challenging prognoses. This study integrates ...