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EMBnet J. 2018;24. pii: e910. Epub 2018 Apr 19.

Genomic big data hitting the storage bottleneck.

Author information

1
Laboratory of Genetics, Department of Biotechnology, School of Food, Biotechnology and Development, Agricultural University of Athens, Athens, Greece.
2
Department of Informatics and Telecommunications, National and Kapodistrian University of Athens, Athens, Greece.
3
Sotiria Chest Diseases Hospital, Athens, Greece.
4
Division of Endocrinology and Metabolism, Center of Clinical, Experimental Surgery and Translational Research, Biomedical Research Foundation of the Academy of Athens, Athens, Greece.
5
Computer Engineering and Informatics Department, School of Engineering, University of Patras, Patras, Greece.

Abstract

During the last decades, there is a vast data explosion in bioinformatics. Big data centres are trying to face this data crisis, reaching high storage capacity levels. Although several scientific giants examine how to handle the enormous pile of information in their cupboards, the problem remains unsolved. On a daily basis, there is a massive quantity of permanent loss of extensive information due to infrastructure and storage space problems. The motivation for sequencing has fallen behind. Sometimes, the time that is spent to solve storage space problems is longer than the one dedicated to collect and analyse data. To bring sequencing to the foreground, scientists have to slide over such obstacles and find alternative ways to approach the issue of data volume. Scientific community experiences the data crisis era, where, out of the box solutions may ease the typical research workflow, until technological development meets the needs of Bioinformatics.

PMID:
29782620
PMCID:
PMC5958914

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