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ABSTRACT: Background
In recent years, nucleotide sequencing has become increasingly instrumental in both research and clinical settings. This has led to an explosive growth in sequencing data produced worldwide. As the amount of data increases, so does the need for automated solutions for data processing and analysis. The concept of workflows has gained favour in the bioinformatics community, but there is little in the scientific literature describing end-to-end automation systems. Arteria is an automation system that aims at providing a solution to the data-related operational challenges that face sequencing core facilities.Findings
Arteria is built on existing open source technologies, with a modular design allowing for a community-driven effort to create plug-and-play micro-servic
SUBMITTER: Dahlberg J
PROVIDER: S-EPMC6905352 | biostudies-literature | 2019 Dec
REPOSITORIES: biostudies-literature