Experimenting with a variation graph To better identify genomic variants, novel methods of looking for them emerged alongside the traditional one roughly 10 years ago. One of them entails instructing ...

Abstract: Graph signal recovery and graph learning are two important problems in graph signal processing. Graph learning typically relies on complete data, while graph signal recovery assumes a ...

Genomic medicine relies on single reference genomes that miss crucial genetic diversity, creating diagnostic gaps that disproportionately affect underrepresented populations. Pangenome graphs, ...

Microsoft Corp will discontinue its Graph command-line interface tool next year, citing declining usage and overlap with existing developer tools as the company consolidates its software development ...

Chickens are one of the most important livestock globally, serving not only as a primary source of high-quality protein for humans but also carrying unique genetic characteristics across different ...

Following the Second Pending Contract for Protective Plates, Our Enhanced Proprietary Graphene Technology Will be Initiated for Coating of the Armor EL CENTRO, Calif., June 17, 2025 (GLOBE NEWSWIRE) - ...

Variation graphs can become very large and complicated and it is often useful to break down the graph and describe the commonly occurring nested substructures. Variations in the graph often have a ...

ABSTRACT: With the continuous development of artificial intelligence and natural language processing technologies, traditional retrieval-augmented generation (RAG) techniques face numerous challenges ...

The President of the United States of America, The Honorable Donald J. Trump hosted the Prime Minister of India, Shri Narendra Modi for an Official Working Visit in Washington, DC on February 13, 2025 ...