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Delivering Bioinformatics MapReduce Applications in the Cloud

Forer, Lukas; Lipić, Tomislav; Schőnherr, Sebastian; Weissensteiner, Hansi; Davidović, Davor; Kronenberg, Florian; Afgan, Enis
Delivering Bioinformatics MapReduce Applications in the Cloud // MIPRO 2014 37th International Convention Proceedings
Opatija, Hrvatska, 2014. str. 388-392 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)

Delivering Bioinformatics MapReduce Applications in the Cloud

Forer, Lukas ; Lipić, Tomislav ; Schőnherr, Sebastian ; Weissensteiner, Hansi ; Davidović, Davor ; Kronenberg, Florian ; Afgan, Enis

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

MIPRO 2014 37th International Convention Proceedings / - , 2014, 388-392

MIPRO 2014: 37th International Convention on Information and Communication Technology, Electronics and Microelectronics

Mjesto i datum
Opatija, Hrvatska, 26-30.05.2014

Vrsta sudjelovanja

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Bioinformatics ; MapReduce ; CloudGene ; Cloud ; big data

The ever-increasing data production and availability in the field of bioinformatics demands a paradigm shift towards the utilization of novel solutions for efficient data storage and processing, such as the MapReduce data parallel programming model and the corresponding Apache Hadoop framework. Despite the evident potential of this model and existence of already available algorithms and applications, especially for batch processing of large data sets as in the Next Generation Sequencing analysis, bioinformatics MapReduce applications are yet to become widely adopted in the bioinformatics data analysis. We identify two prerequisites for their adaptation and utilization: (1) the ability to compose complex workflows from multiple bioinformatics MapReduce tools that will abstract technical details of how those tools are combined and executed allowing bioinformatics domain experts to focus on the analysis, and (2) the availability of accessible and flexible computing infrastructure for this type of data processing. This paper presents integration of two existing systems: Cloudgene, a bioinformatics MapReduce workflow framework, and CloudMan, a cloud manager for delivering application execution environments. Together, they enable delivery of bioinformatics MapReduce applications in the Cloud.

Izvorni jezik

Znanstvena područja
Biologija, Računarstvo


Projekt / tema
098-0982562-2567 - Metode znanstvene vizualizacije (Karolj Skala, )

Institut "Ruđer Bošković", Zagreb