Density functional theory is a widely used computer-based quantum mechanical method for calculating properties of atoms, ...

Using an algorithm they call the Krakencoder, researchers at Weill Cornell Medicine are a step closer to unraveling how the ...

Scientists often lack prior knowledge of these factors needed to choose data that fits their analytical goals and to annotate them for heuristic models or supervised learning algorithms ...

Despite challenges including data privacy, algorithm transparency, and bioethical issues, the future of AI is expected to continue revolutionizing genomics and bioinformatics, ushering in a new era of ...

These pipelines are sets of algorithms that process genome sequencing data. These scattered and isolated pipelines of functional annotation must be integrated into public databases for meaningful ...

Auto annotation technologies are often pre-trained algorithms that can accurately label photos ... Labelling pictures is required for functional datasets because it informs the training model about ...

Overall, the BWA-MEM algorithm had more FP ... We also introduce annotate, an annotation transfer tool for user-built functional dictionaries. MEDUSA is easy to acquire, set up, and run, simplifying ...

We demonstrate cell annotation in Caenorhabditis elegans images across strains, animal orientations, and tasks including gene-expression localization, multi-cellular and whole-brain functional imaging ...

Thus, high-throughput annotation of functional roles of pathway nodes is required for the comprehensive analysis of the pathway activation profiles. We proposed an algorithm that identifies functional ...

Abstract: The functional annotation of proteins is one of the most important tasks in the post-genomic era. Although many computational approaches have been developed in recent years to predict ...