Single-cell analysis is reshaping drug discovery, but interpretation remains slow. AI single cell approaches may close the ...

Differences in brain connectivity are linked to several neurodevelopmental disorders, yet scientists still struggle to ...

Recent advances in artificial intelligence are reshaping genomics, with new tools enabling faster, more accurate genome annotation, variant detection, and functional prediction across agriculture and ...

A newly annotated fingerprint dataset combined with open-source software could help forensic examiners work more consistently ...

With the timsTOF Ultra, researchers can now dive into single-cell metabolomics in plants, offering a clearer, more detailed look at how alkaloids are made and where they’re coming from.

Background The gut-liver axis plays a critical role in liver disease progression; however, how gut microbial ecology and function vary across disease stages remains unclear. Objective To define ...

In this tutorial, we build a complete pipeline for single-cell RNA sequencing analysis using Scanpy. We start by installing the required libraries and loading the PBMC 3k dataset, then perform quality ...

GeneForge is a flexible Nextflow pipeline for gene prediction and optional functional annotation of eukaryotic genomes. It integrates BRAKER3 and FunAnnotate for gene prediction, compares their ...

Abstract: The tumor microenvironment is a dynamic eco system where cellular interactions drive cancer progression. However, inferring cell-cell communication from non-spatial scRNA-seq data remains ...

Rare variants (RV) identified through whole genome sequencing hold great promise for elucidating the genetic basis of disease onset, but existing methods for RV association testing are not well suited ...