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2015
Springer

Genome sequence analysis with monetdb: a case study on ebola virus diversity

3 years 9 months ago
Genome sequence analysis with monetdb: a case study on ebola virus diversity
: Next-generation sequencing (NGS) technology has led the life sciences into the big data era. Today, sequencing genomes takes little time and cost, but results in terabytes of data to be stored and analysed. Biologists are often exposed to excessively time consuming and error-prone data management and analysis hurdles. In this paper, we propose a database management system (DBMS) based approach to accelerate and substantially simplify genome sequence analysis. We have extended MonetDB, an open-source column-based DBMS, with a BAM module, which enables easy, flexible, and rapid management and analysis of sequence alignment data stored as Sequence Alignment/Map (SAM/BAM) files. We describe the main features of MonetDB/BAM using a case study on Ebola virus genomes.
Robin Cijvat, Stefan Manegold, Martin L. Kersten,
Added 17 Apr 2016
Updated 17 Apr 2016
Type Journal
Year 2015
Where BTW
Authors Robin Cijvat, Stefan Manegold, Martin L. Kersten, Gunnar W. Klau, Alexander Schönhuth, Tobias Marschall, Ying Zhang
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