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pro vyhledávání: '"Kyle Ferriter"'
Autor:
Amir Bahmani, Kyle Ferriter, Vandhana Krishnan, Arash Alavi, Amir Alavi, Philip S Tsao, Michael P Snyder, Cuiping Pan
Publikováno v:
PLoS Computational Biology, Vol 17, Iss 5, p e1008977 (2021)
Genomic data analysis across multiple cloud platforms is an ongoing challenge, especially when large amounts of data are involved. Here, we present Swarm, a framework for federated computation that promotes minimal data motion and facilitates crossta
Externí odkaz:
https://doaj.org/article/62aad6d8f9b04f838af6b3fa048c3be4
Autor:
Kyle Ferriter, Amir Bahmani, Philip S. Tsao, Michael Snyder, Cuiping Pan, Amir A Alavi, Arash Alavi, Vandhana Krishnan
Publikováno v:
PLoS Computational Biology, Vol 17, Iss 5, p e1008977 (2021)
PLoS Computational Biology
PLoS Computational Biology
Genomic data analysis across multiple cloud platforms is an ongoing challenge, especially when large amounts of data are involved. Here, we present Swarm, a framework for federated computation that promotes minimal data motion and facilitates crossta
Publikováno v:
BIBM
Personalized genomic datasets are growing in size at an accelerating pace presenting a dilemma between the need for fast retrieval requiring “near data” and cost of storage, which decreases for “distant media” with larger capacity but longer
Publikováno v:
NOMS
We have witnessed a surge in both the big data applications being hosted by an assortment of cloud vendors, and in the astronomical amount of data they produce and consume on a daily basis. Traditional cluster computing frameworks can hardly cope wit