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Title 

HASV: hadoop-based NGS analyzer for predicting genomic structure variations

Authors 

Kunhwan GoJongcheol YoonK Park

Publisher 

Springer Verlag (Germany)

Issue Date 

2014

Citation 

Lecture Notes in Electrical Engineering, vol. 274, no. 0, pp. 321-327

Abstract 

The NGS technology produces large scale biologic data sets much cheaper and faster than the previous methods. As it is almost impossible to store or analyze such large scale NGS data with a traditional method on a commodity server, many problems arise. Hadoop is an alternative to this requirement. We aim to address the issues involved in the large scale data analysis on the cloud in bioinformatics. Accordingly, we propose analysis service for predicting genome structural variations associated with diseases by using Hadoop. The result of this study reveals that the system proposed in this study efficiently predicts genomic variations from large scale data sets. ? Springer-Verlag Berlin Heidelberg 2014.

ISSN 

1876-1100

Link 

http://dx.doi.org/10.1007/978-3-642-40675-1-49

Appears in Collections

1. Journal Articles > Journal Articles

Registered Date

2019-05-02


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