Harnessing virtual machines to simplify next-generation DNA sequencing analysis | Zendy

Julie Nocq | Zendy; Magalie Celton | Zendy; Patrick Gendron | Zendy; Sébastien Lemieux | Zendy; Brian T. Wilhelm | Zendy

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Harnessing virtual machines to simplify next-generation DNA sequencing analysis

Author(s) -

Julie Nocq,

Magalie Celton,

Patrick Gendron,

Sébastien Lemieux,

Brian T. Wilhelm

Publication year - 2013

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btt352

Subject(s) - computer science , software , benchmarking , pace , data science , field (mathematics) , software engineering , operating system , mathematics , geodesy , marketing , pure mathematics , business , geography

The growth of next-generation sequencing (NGS) has not only dramatically accelerated the pace of research in the field of genomics, but it has also opened the door to personalized medicine and diagnostics. The resulting flood of data has led to the rapid development of large numbers of bioinformatic tools for data analysis, creating a challenging situation for researchers when choosing and configuring a variety of software for their analysis, and for other researchers trying to replicate their analysis. As NGS technology continues to expand from the research environment into clinical laboratories, the challenges associated with data analysis have the potential to slow the adoption of this technology.

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