Lossless Compression with Trie-Based Shared Dictionary for Omics Data in Edge–Cloud Frameworks

The growing complexity and volume of genomic and omics data present critical challenges for storage, transfer, and analysis in edge–cloud platforms. Existing compression techniques often involve trade-offs between efficiency and speed, requiring innovative approaches that ensure scalability and cost...

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Autori principali:	Rani Adam, Daniel R. Catchpoole, Simeon J. Simoff, Zhonglin Qu, Paul J. Kennedy, Quang Vinh Nguyen
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2025-04-01
Serie:	Journal of Sensor and Actuator Networks
Soggetti:	genomic data compression N-gram analysis global shared dictionary health data storage optimization Zstd compression health informatics scalability
Accesso online:	https://www.mdpi.com/2224-2708/14/2/41
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