Sherlock: an open-source data platform to store, analyze and integrate Big Data for computational biologists.

ABSTRACT: In the era of Big Data, data collection underpins biological research more than ever before. In many cases, this can be as time-consuming as the analysis itself. It requires downloading multiple public databases with various data structures, and in general, spending days preparing the data before answering any biological questions. Here, we introduce Sherlock, an open-source, cloud-based big data platform ( https://earlham-sherlock.github.io/) to solve this problem. Sherlock provides a gap-filling way for computational biologists to store, convert, query, share and generate biology data while ultimately streamlining bioinformatics data management. The Sherlock platform offers a simple interface to leverage big data technologies, such as Docker and PrestoDB. Sherlock is designed to enable u

SUBMITTER: Bohar B 

PROVIDER: S-EPMC9731172 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature