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

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 Anal...

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Autores principales: Kinjo, Sonoko, Monma, Norikazu, Misu, Sadahiko, Kitamura, Norikazu, Imoto, Junichi, Yoshitake, Kazutoshi, Gojobori, Takashi, Ikeo, Kazuho
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5905357/
https://www.ncbi.nlm.nih.gov/pubmed/29688385
http://dx.doi.org/10.1093/database/bay027
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author Kinjo, Sonoko
Monma, Norikazu
Misu, Sadahiko
Kitamura, Norikazu
Imoto, Junichi
Yoshitake, Kazutoshi
Gojobori, Takashi
Ikeo, Kazuho
author_facet Kinjo, Sonoko
Monma, Norikazu
Misu, Sadahiko
Kitamura, Norikazu
Imoto, Junichi
Yoshitake, Kazutoshi
Gojobori, Takashi
Ikeo, Kazuho
author_sort Kinjo, Sonoko
collection PubMed
description 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. Database URL: http://cell-innovation.nig.ac.jp/maser/
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spelling pubmed-59053572018-04-23 Maser: one-stop platform for NGS big data from analysis to visualization Kinjo, Sonoko Monma, Norikazu Misu, Sadahiko Kitamura, Norikazu Imoto, Junichi Yoshitake, Kazutoshi Gojobori, Takashi Ikeo, Kazuho Database (Oxford) Database Tool 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. Database URL: http://cell-innovation.nig.ac.jp/maser/ Oxford University Press 2018-04-13 /pmc/articles/PMC5905357/ /pubmed/29688385 http://dx.doi.org/10.1093/database/bay027 Text en © The Author(s) 2018. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Database Tool
Kinjo, Sonoko
Monma, Norikazu
Misu, Sadahiko
Kitamura, Norikazu
Imoto, Junichi
Yoshitake, Kazutoshi
Gojobori, Takashi
Ikeo, Kazuho
Maser: one-stop platform for NGS big data from analysis to visualization
title Maser: one-stop platform for NGS big data from analysis to visualization
title_full Maser: one-stop platform for NGS big data from analysis to visualization
title_fullStr Maser: one-stop platform for NGS big data from analysis to visualization
title_full_unstemmed Maser: one-stop platform for NGS big data from analysis to visualization
title_short Maser: one-stop platform for NGS big data from analysis to visualization
title_sort maser: one-stop platform for ngs big data from analysis to visualization
topic Database Tool
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5905357/
https://www.ncbi.nlm.nih.gov/pubmed/29688385
http://dx.doi.org/10.1093/database/bay027
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