Recent advances in deep learning have enabled effective interpretation of neural activity patterns from electroencephalogram signals; however, challenges persist in invasive brain signals for ...

Abstract: Multiple Sequence Alignment (MSA) is a fundamental NP-hard problem in Bioinformatics, central to numerous sequence analysis tasks. Despite extensive research, existing approaches still ...

The one thing Rams safety Quentin Lake wanted to improve this season above all else was ball production. It's safe to say he's done that, leading the league with five pass breakups through three games ...

This toolkit provides a robust, feature-based image registration solution designed to streamline and enhance the alignment and analysis of images. Leveraging well-known algorithms, this tool enables ...

Our STOCKHOLM File Format Converter is a specialized bioinformatics utility designed to improve interoperability among multiple sequence alignments (MSAs). This tool expertly converts alignments from ...

A simple treatment algorithm may help reduce treatment disparities for Hispanic and Black people with multiple sclerosis (MS), according to a preliminary study released today, March 3, 2025, that will ...

Aligning large language models (LLMs) with human values remains difficult due to unclear goals, weak training signals, and the complexity of human intent. Direct Alignment Algorithms (DAAs) offer a ...

In a milestone that brings quantum computing tangibly closer to large-scale practical use, scientists at Oxford University Physics have demonstrated the first instance of distributed quantum computing ...

I hope this email finds you well. My name is Xueqin Wang, and I am currently using your tool SpruceUp for processing multiple sequence alignment data. First, I want to express my appreciation for this ...