Big Data Analytics in Bioinformatics

Ümit Demirbaga, Gagangeet Singh Aujla (), Anish Jindal () and Oğuzhan Kalyon ()
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Ümit Demirbaga: University of Cambridge, Department of Medicine
Gagangeet Singh Aujla: Durham University, Department of Computer Science
Anish Jindal: Durham University, Department of Computer Science
Oğuzhan Kalyon: Newcastle University, Faculty of Medical Sciences

Chapter Chapter 12 in Big Data Analytics, 2024, pp 265-284 from Springer

Abstract: Abstract This chapter introduces the intricate interplay between big data analytics and bioinformatics, providing a comprehensive perspective on leveraging large-scale genomic data. Delving into the challenges posed by big data in bioinformatics, the narrative unfolds to explore frameworks tailored for managing extensive genomic datasets and the pivotal role of biological databases. The core focus is applying big data analytics in bioinformatics, spanning the employment of Hadoop, MapReduce, and deep learning methodologies. A detailed case study exemplifies the practical implementation of variant detection in genomes, illustrating processes like data copying to HDFS, MapReduce-based data processing, and the multistep intricacies of variant calling and interpretation. This chapter serves as a roadmap by navigating the synergy between cutting-edge analytics and the intricate nuances of bioinformatics.

Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-031-55639-5_12

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DOI: 10.1007/978-3-031-55639-5_12

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