Proceedings of the 2018 International Conference on Mechanical, Electronic, Control and Automation Engineering (MECAE 2018)

Efficient DNA Sequences Storage Scheme based on HBase

Authors
Shaoxiong Wen
Corresponding Author
Shaoxiong Wen
Available Online March 2018.
DOI
10.2991/mecae-18.2018.122How to use a DOI?
Keywords
HBase,DNA sequences,DNA division,file index
Abstract

In view of the characteristics of large amount of biological sequences data, fast growth rate and high sequences repeatability, a set of DNA sequences storage schemes based on HBase is proposed and implemented in combination with the related theory and technology of HBase distributed database. The pre-splitting strategy and Rowkey optimization based on DNA classification code is designed, which solves the problem of balanced load and hot spots of server.The efficient access of data is implemented by constructing the file index to replace the specific sequences. Experiments demonstrate that the DNA sequences storage system designed by these schemes has good storage capacity and scalability.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2018 International Conference on Mechanical, Electronic, Control and Automation Engineering (MECAE 2018)
Series
Advances in Engineering Research
Publication Date
March 2018
ISBN
10.2991/mecae-18.2018.122
ISSN
2352-5401
DOI
10.2991/mecae-18.2018.122How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Shaoxiong Wen
PY  - 2018/03
DA  - 2018/03
TI  - Efficient DNA Sequences Storage Scheme based on HBase
BT  - Proceedings of the 2018 International Conference on Mechanical, Electronic, Control and Automation Engineering (MECAE 2018)
PB  - Atlantis Press
SP  - 334
EP  - 337
SN  - 2352-5401
UR  - https://doi.org/10.2991/mecae-18.2018.122
DO  - 10.2991/mecae-18.2018.122
ID  - Wen2018/03
ER  -