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Lessons learned from implementing a national infrastructure in Sweden for storage and analysis of next-generation sequencing data
Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Pharmacy, Department of Pharmaceutical Biosciences.
Uppsala University, Science for Life Laboratory, SciLifeLab.
Uppsala University, Disciplinary Domain of Science and Technology, Biology, Department of Cell and Molecular Biology.
Uppsala University, Science for Life Laboratory, SciLifeLab.
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2013 (English)In: GigaScience, ISSN 2047-217X, E-ISSN 2047-217X, Vol. 2, no 1, 1-10 p.Article in journal (Refereed) Published
Abstract [en]

Analyzing and storing data and results from next-generation sequencing (NGS) experiments is a challenging task, hampered by ever-increasing data volumes and frequent updates of analysis methods and tools. Storage and computation have grown beyond the capacity of personal computers and there is a need for suitable e-infrastructures for processing. Here we describe UPPNEX, an implementation of such an infrastructure, tailored to the needs of data storage and analysis of NGS data in Sweden serving various labs and multiple instruments from the major sequencing technology platforms. UPPNEX comprises resources for high-performance computing, large-scale and high-availability storage, an extensive bioinformatics software suite, up-to-date reference genomes and annotations, a support function with system and application experts as well as a web portal and support ticket system. UPPNEX applications are numerous and diverse, and include whole genome-, de novo- and exome sequencing, targeted resequencing, SNP discovery, RNASeq, and methylation analysis. There are over 300 projects that utilize UPPNEX and include large undertakings such as the sequencing of the flycatcher and Norwegian spruce. We describe the strategic decisions made when investing in hardware, setting up maintenance and support, allocating resources, and illustrate major challenges such as managing data growth. We conclude with summarizing our experiences and observations with UPPNEX to date, providing insights into the successful and less successful decisions made.

Place, publisher, year, edition, pages
2013. Vol. 2, no 1, 1-10 p.
National Category
Bioinformatics and Systems Biology
Research subject
Bioinformatics
Identifiers
URN: urn:nbn:se:uu:diva-202128DOI: 10.1186/2047-217X-2-9ISI: 000321451400001PubMedID: 23800020OAI: oai:DiVA.org:uu-202128DiVA: diva2:630999
Funder
eSSENCE - An eScience Collaboration
Available from: 2013-06-19 Created: 2013-06-19 Last updated: 2017-12-06Bibliographically approved

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Lampa, SamuelDahlö, MartinOlason, Pall ISpjuth, Ola

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Lampa, SamuelDahlö, MartinOlason, Pall IHagberg, JonasSpjuth, Ola
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