Imagine looking at thousands of scattered puzzle pieces and trying to guess what picture they create. Without any reference point, it's nearly impossible.

This study presents a valuable advance for the analysis of gene expression variation at the level of individual cells by introducing a novel reference-free framework that can detect splicing, fusion, ...

Preparing real-world data for AI training is a labor-intensive process, often involving large-scale collection, tagging and validation. This can be time- ...

Engineering with a Mission  “Innovation is not just about technology; it’s about understanding the real-world needs of users and applying technical skill to create meaningful solutions.” — Mariya Giy ...

Researchers at the University of Tsukuba have developed a novel technique for analyzing neural activity in the brain. This new approach makes it possible to track neuronal signals in freely moving ...

A further 15 per cent of apprentices withdrew due to a lack of commitment or engagement, poor attendance or simply no longer ...

This paper presents functional coverage analysis automation and an approach to scale down ... coverage analysis tools can also grade the various coverage data sources. The grading helps determine ...

This special edition of Data Spotlight explores how research data, such as supply chain insights and geographic segment ...

It stated that a vulnerability in Apple's iOS and iPadOS may allow certain malicious applications to cause affected devices ...

Cambridge-based life science tools company Lightcast Discovery is debuting its Envisia™ benchtop platform – a breakthrough ...

This approach offers an advantage over VEP's analysis, which treats each input variant independently ... the compound effects the variants may have are correctly accounted for. Input data must be a ...

Single-cell biology has transformed how we decode cellular heterogeneity, but a new frontier is emerging: understanding what individual cells do, not just what they express.