Scalable Graph Algorithms for Bioinformatics using Structure, Parameterization and Dynamic Updates, ERC Consolidator Grant, 9/2025-8/2030 Sequencing technologies have developed to be cheap and ...

Bioinformatics is a field of study that uses computation to extract knowledge from biological data. It includes the collection, storage, retrieval, manipulation and modelling of data for analysis ...

Recent years have witnessed an increasing number of applications involving objects with structural relationships, including chemical compounds in Bioinformatics, brain networks, image structures, and ...

Graph data is ubiquitous in academia and industry, from social networks to bioinformatics. The pervasiveness of graphs today has raised the demand for algorithms that can answer various questions: ...

BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs ...

Graph algorithms constitute a fundamental area of computational research that focuses on the analysis and manipulation of graph structures, which represent systems of interconnected entities.

PepGen leverages a graph-based approach to improve the detection of hidden protein variants in a computationally efficient ...

Optimizing Background Therapy in Treatment-Experienced HIV-1 Patients by Rules-Based Algorithms and Bioinformatics. Jenny Svärd; Anders Sönnerborg. Disclosures. Future Virology. 2012;7(8):749-757.

Department of Pharmacology and Molecular Sciences, Johns Hopkins University, Baltimore, United States ...

Explore the concept of graph databases, their use cases, benefits, drawbacks, and popular tools. By Collins Ayuya Published: Jun 19, 2025 Modified: Jun 19, 2025 Read More See more Big Data articles ...

AI is being used to model gene regulation and predict cellular behavior from transcriptomic data. Learn how these tools aid ...