Moving Just Enough Deep Sequencing Data to Get the Job Done.

ABSTRACT:

Motivation

As the size of high-throughput DNA sequence datasets continues to grow, the cost of transferring and storing the datasets may prevent their processing in all but the largest data centers or commercial cloud providers. To lower this cost, it should be possible to process only a subset of the original data while still preserving the biological information of interest.

Results

Using 4 high-throughput DNA sequence datasets of differing sequencing depth from 2 species as use cases, we demonstrate the effect of processing partial datasets on the number of detected RNA transcripts using an RNA-Seq workflow. We used transcript detection to decide on a cutoff point. We then physically transferred the minimal partial dataset and compared with the transfer of the full datase

SUBMITTER: Mills N 

PROVIDER: S-EPMC6572328 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature