Wagle, Prerana, Nikolic, Milos ORCID: 0000-0003-0029-7601 and Frommolt, Peter ORCID: 0000-0002-1966-8014 (2015). QuickNGS elevates Next-Generation Sequencing data analysis to a new level of automation. BMC Genomics, 16. LONDON: BIOMED CENTRAL LTD. ISSN 1471-2164

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Background: Next-Generation Sequencing (NGS) has emerged as a widely used tool in molecular biology. While time and cost for the sequencing itself are decreasing, the analysis of the massive amounts of data remains challenging. Since multiple algorithmic approaches for the basic data analysis have been developed, there is now an increasing need to efficiently use these tools to obtain results in reasonable time. Results: We have developed QuickNGS, a new workflow system for laboratories with the need to analyze data from multiple NGS projects at a time. QuickNGS takes advantage of parallel computing resources, a comprehensive back-end database, and a careful selection of previously published algorithmic approaches to build fully automated data analysis workflows. We demonstrate the efficiency of our new software by a comprehensive analysis of 10 RNA-Seq samples which we can finish in only a few minutes of hands-on time. The approach we have taken is suitable to process even much larger numbers of samples and multiple projects at a time. Conclusion: Our approach considerably reduces the barriers that still limit the usability of the powerful NGS technology and finally decreases the time to be spent before proceeding to further downstream analysis and interpretation of the data.

Item Type: Journal Article
CreatorsEmailORCIDORCID Put Code
Nikolic, MilosUNSPECIFIEDorcid.org/0000-0003-0029-7601UNSPECIFIED
Frommolt, PeterUNSPECIFIEDorcid.org/0000-0002-1966-8014UNSPECIFIED
URN: urn:nbn:de:hbz:38-400170
DOI: 10.1186/s12864-015-1695-x
Journal or Publication Title: BMC Genomics
Volume: 16
Date: 2015
Place of Publication: LONDON
ISSN: 1471-2164
Language: English
Faculty: Unspecified
Divisions: Unspecified
Subjects: no entry
Uncontrolled Keywords:
Biotechnology & Applied Microbiology; Genetics & HeredityMultiple languages
URI: http://kups.ub.uni-koeln.de/id/eprint/40017


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