Cloud-based interactive analytics for terabytes of genomic variants data.

ABSTRACT:

Motivation

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.

Results

We present interactive analytics using a cloud-based columnar database built on Dremel to perform information compression, comprehensive quality controls, and biological information retrieval in large volumes of genomic data. We demonstrate such Big Data computing paradigms can provide orders of magnitude faster turnaround for common genomic analyses, transforming long-running batch jobs submitted via a Linux shell into questions that can be asked from a web browser

SUBMITTER: Pan C 

PROVIDER: S-EPMC5860318 | biostudies-literature | 2017 Dec

REPOSITORIES: biostudies-literature