Publikasi Scopus 2010 s/d 2022

Purbarani S.C., Sanabila H.R., Bowolaksono A., Wiweko B.
57188977443;35796300700;57205093224;43061741400;
A survey of whole genome alignment tools and frameworks based on Hadoop's MapReduce
2017
2016 International Workshop on Big Data and Information Security, IWBIS 2016
7872891
65
69
2
Faculty of Computer Science, Universitas Indonesia, Depok, Indonesia; Department of Biology, Faculty of Mathematics and Natural Sciences, Universitas Indonesia, Depok, Indonesia; Faculty of Medicine, Universitas Indonesia, Jakarta, Indonesia
Purbarani, S.C., Faculty of Computer Science, Universitas Indonesia, Depok, Indonesia; Sanabila, H.R., Faculty of Computer Science, Universitas Indonesia, Depok, Indonesia; Bowolaksono, A., Department of Biology, Faculty of Mathematics and Natural Sciences, Universitas Indonesia, Depok, Indonesia; Wiweko, B., Faculty of Medicine, Universitas Indonesia, Jakarta, Indonesia
Next generation DNA sequencing (NGS) project that aims to give understandings in various genes seems to boosts innovative breakthrough in whole genome issues. Dealing with genomic data requires large-scale data storage and processing. Big data technology could be the most appropriate solution to gaining useful knowledge from data comprehensively. This study discusses about genome tools and framework that implement MapReduce of Hadoop's components in sequence alignment computation. The aim of this discussion is presenting an overview of whole genome alignment software tools and the implementation in big data. © 2016 IEEE.
big data; genome sequence alignment; Hadoop; MapReduce; multiple sequence alignment
Data handling; Digital storage; DNA sequences; Gene encoding; Genes; Security of data; Data technologies; Genome sequences; Hadoop; Map-reduce; Multiple sequence alignments; Next-generation dna sequencing; Sequence alignments; Whole genome alignment; Big data
Institute of Electrical and Electronics Engineers Inc.
9,78151E+12
Conference Paper
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