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For example, sequencing technologies are generating terabytes (TBs) or even petabytes (PBs) of data for a multi-dimensional analysis.
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LCLS has accumulated 11 PB of data since start-up in 2009, and 24% of these data are currently available on disk.
They found that 561 users processed more than 5 PB of data with 13 million file accesses to more than 1.3 million distinct data files.
The Large Hadron Collider (LHC) particle accelerator at CERN consists of a number of data-intensive experiments, which are estimated to produce a volume of about 30 PB of data, annually.
CGHub holds nearly 1.9 PB of data, covering 42 cancer types and normal controls (https://cghub.ucsc.edu/summary_stats.html).html
The CGHub currently contains >1.4 PB of data, has grown at an average rate of 50 TB a month and serves >100 TB per week.
Downloads totaling in aggregate of ~20 PB of data have been initiated while the repository has grown to >1.4 PB in size with hundreds of terabytes projected to still be uploaded.
The TBs and PBs of sequencing data can be condensed to GBs with post-experimental processing and it are these GBs that are the actual object of scientific analysis.
PB: Acquisition of data, drafting the manuscrit, bibliographic search, analysis and interpretation of data.
PB: analysis of data, manuscript revising, final approval.
As an extreme example, the Large Hadron Collider at the Center for European Nuclear Research CERNN) generates about 1 PB of raw data per second, of which one out of 10,000 events are passed through to processor cores where 1%% of the remaining events are selected for analysis (CERN 2015).
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CEO of Professional Science Editing for Scientists @ prosciediting.com