A paper “Calculating quality of public high-throughput sequencing data to obtain suitable subset for reanalysis from the Sequence Read Archive” was published in Gigascience.

A paper “Calculating quality of public high-throughput sequencing data to obtain suitable subset for reanalysis from the Sequence Read Archive” was published in Gigascience.
Mr. Tazro Ohta, Dr. Takeru Nakazato and Dr. Hidemasa Bono from DBCLS have deeply contributed to this work in dry analysis.
 
The open-access full paper can be found online at:
http://dx.doi.org/10.1093/gigascience/gix029
 
Tazro Ohta, Takeru Nakazato, and Hidemasa Bono
“Calculating quality of public high-throughput sequencing data to obtain suitable subset for reanalysis from the Sequence Read Archive”
Gigascience 2017; gix029.
doi: 10.1093/gigascience/gix029.
 
Computations were performed on the NIG supercomputer at ROIS National Institute of Genetics.