Cloud-based interactive analytics for terabytes of genomic variants data | Zendy

Cuiping Pan | Zendy; Gregory McInnes | Zendy; Nicole Deflaux | Zendy; M Snyder | Zendy; Jonathan Bingham | Zendy; Somalee Datta | Zendy; Philip S. Tsao | Zendy

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Cloud-based interactive analytics for terabytes of genomic variants data

Author(s) -

Cuiping Pan,

Gregory McInnes,

Nicole Deflaux,

M Snyder,

Jonathan Bingham,

Somalee Datta,

Philip S. Tsao

Publication year - 2017

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btx468

Subject(s) - decipher , cloud computing , computer science , terabyte , big data , scalability , analytics , genomics , population , data science , genome , data mining , database , bioinformatics , biology , genetics , demography , sociology , gene , operating system

Large scale genomic sequencing is now widely used to decipher questions in diverse realms such as biological function, human diseases, evolution, ecosystems, and agriculture. With the quantity and diversity these data harbor, a robust and scalable data handling and analysis solution is desired.

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