Multiple sequence alignment (MSA) is a cornerstone of computational biology, facilitating the exploration of functional, structural and evolutionary relationships among biological sequences.

Structural variations (SVs)—large-scale changes in DNA sequence—play a crucial role in shaping traits such as yield, quality, and environmental adaptation in crops.

Low-Cost In Situ Technology Integrated into the Lac Tetepisca Geometallurgical Model, Supporting Upcoming MRE and Future ...

The water heater market is growing steadily as it moves into 2026, with increased demand in commercial and multifamily ...

Logically named San Francisco-based CraftStory is a specialist in realistic AI-generated human video. The company’s ...

The People’s Liberation Army Air Force’s (PLAAF) decision to publicly showcase a simulated air-to-air confrontation between ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

This important study, which tackles the challenge of analyzing genome integrity and instability in unicellular pathogens by introducing a novel single-cell genomics approach, presents compelling ...

New Analysis Platform Explores Why Household Tasks and Physical Automation Require Embodied Intelligence Beyond Traditional Computer Approaches The next wave of AI is physical AI. AI that understands ...

Nassau County students are making waves on the national stage, with dozens of high school seniors earning spots among the top ...