Universität zu Köln

Nieroda, Lech, Maas, Lukas, Thiebes, Scott, Lang, Ulrich ORCID: 0000-0001-7166-0805, Sunyaev, Ali, Achter, Viktor and Peifer, Martin (2019). iRODS metadata management for a cancer genome analysis workflow. BMC Bioinformatics, 20. LONDON: BMC. ISSN 1471-2105

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Abstract

BackgroundThe massive amounts of data from next generation sequencing (NGS) methods pose various challenges with respect to data security, storage and metadata management. While there is a broad range of data analysis pipelines, these challenges remain largely unaddressed to date.ResultsWe describe the integration of the open-source metadata management system iRODS (Integrated Rule-Oriented Data System) with a cancer genome analysis pipeline in a high performance computing environment. The system allows for customized metadata attributes as well as fine-grained protection rules and is augmented by a user-friendly front-end for metadata input. This results in a robust, efficient end-to-end workflow under consideration of data security, central storage and unified metadata information.ConclusionsIntegrating iRODS with an NGS data analysis pipeline is a suitable method for addressing the challenges of data security, storage and metadata management in NGS environments.

Item Type:	Journal Article
Creators:	Creators Email ORCID ORCID Put Code Nieroda, Lech UNSPECIFIED UNSPECIFIED UNSPECIFIED Maas, Lukas UNSPECIFIED UNSPECIFIED UNSPECIFIED Thiebes, Scott UNSPECIFIED UNSPECIFIED UNSPECIFIED Lang, Ulrich UNSPECIFIED orcid.org/0000-0001-7166-0805 UNSPECIFIED Sunyaev, Ali UNSPECIFIED UNSPECIFIED UNSPECIFIED Achter, Viktor UNSPECIFIED UNSPECIFIED UNSPECIFIED Peifer, Martin UNSPECIFIED UNSPECIFIED UNSPECIFIED
URN:	urn:nbn:de:hbz:38-159179
DOI:	10.1186/s12859-018-2576-5
Journal or Publication Title:	BMC Bioinformatics
Volume:	20
Date:	2019
Publisher:	BMC
Place of Publication:	LONDON
ISSN:	1471-2105
Language:	English
Faculty:	Faculty of Mathematics and Natural Sciences
Divisions:	Faculty of Mathematics and Natural Sciences > Department of Mathematics and Computer Science > Institute of Computer Science
Subjects:	no entry
Uncontrolled Keywords:	Keywords Language Biochemical Research Methods; Biotechnology & Applied Microbiology; Mathematical & Computational Biology Multiple languages
Refereed:	Yes
URI:	http://kups.ub.uni-koeln.de/id/eprint/15917