Tracking the NGS revolution: managing life science research on shared high-performance computing clusters.

ABSTRACT:

Background

Next-generation sequencing (NGS) has transformed the life sciences, and many research groups are newly dependent upon computer clusters to store and analyze large datasets. This creates challenges for e-infrastructures accustomed to hosting computationally mature research in other sciences. Using data gathered from our own clusters at UPPMAX computing center at Uppsala University, Sweden, where core hour usage of ∼800 NGS and ∼200 non-NGS projects is now similar, we compare and contrast the growth, administrative burden, and cluster usage of NGS projects with projects from other sciences.

Results

The number of NGS projects has grown rapidly since 2010, with growth driven by entry of new research groups. Storage used by NGS projects has grown more rapidly since 201

SUBMITTER: Dahlo M 

PROVIDER: S-EPMC5928410 | biostudies-literature | 2018 May

REPOSITORIES: biostudies-literature