Maser: one-stop platform for NGS big data from analysis to visualization

Sonoko Kinjo, Norikazu Monma, Sadahiko Misu, Norikazu Kitamura, Junichi Imoto, Kazutoshi Yoshitake, Takashi Gojobori, Kazuho Ikeo

Research output: Contribution to journalArticlepeer-review

17 Scopus citations

Abstract

A major challenge in analyzing the data from high-throughput next-generation sequencing (NGS) is how to handle the huge amounts of data and variety of NGS tools and visualize the resultant outputs. To address these issues, we developed a cloud-based data analysis platform, Maser (Management and Analysis System for Enormous Reads), and an original genome browser, Genome Explorer (GE). Maser enables users to manage up to 2 terabytes of data to conduct analyses with easy graphical user interface operations and offers analysis pipelines in which several individual tools are combined as a single pipeline for very common and standard analyses. GE automatically visualizes genome assembly and mapping results output from Maser pipelines, without requiring additional data upload. With this function, the Maser pipelines can graphically display the results output from all the embedded tools and mapping results in a web browser. Therefore Maser realized a more user-friendly analysis platform especially for beginners by improving graphical display and providing the selected standard pipelines that work with built-in genome browser. In addition, all the analyses executed on Maser are recorded in the analysis history, helping users to trace and repeat the analyses. The entire process of analysis and its histories can be shared with collaborators or opened to the public. In conclusion, our system is useful for managing, analyzing, and visualizing NGS data and achieves traceability, reproducibility, and transparency of NGS analysis.
Original languageEnglish (US)
JournalDatabase
Volume2018
Issue number2018
DOIs
StatePublished - Jan 1 2018

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