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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control)
Farhan Dhiyaa Pratama
Universitas Pendidikan Indonesia
Computer Science & IT

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Genomic repeats detection using Boyer-Moore algorithm on Apache Spark Streaming Lala Septem Riza; Farhan Dhiyaa Pratama; Erna Piantari; Mahmoud Fahsi
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 18, No 2: April 2020
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v18i2.14883

Abstract

Genomic repeats, i.e., pattern searching in the string processing process to find repeated base pairs in the order of Deoxyribonucleic Acid (DNA), requires a long processing time. This research builds a big-data computational model to look for patterns in strings by modifying and implementing the Boyer-Moore algorithm on Apache Spark Streaming for human DNA sequences from the Ensemble site. Moreover, we perform some experiments on cloud computing by varying different specifications of computer clusters with involving datasets of human DNA sequences. The results obtained show that the proposed computational model on Apache Spark Streaming is faster than standalone computing and parallel computing with multicore. Therefore, it can be stated that the main contribution in this research, which is to develop a computational model for reducing the computational costs, has been achieved.
Co-Authors Erna Piantari Lala Septem Riza Mahmoud Fahsi