A survey of whole genome alignment tools and frameworks based on Hadoop's MapReduce

Sumarsih C. Purbarani, Hadaiq R. Sanabila, Anom Bowolaksono, Budi Wiweko

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication2016 International Workshop on Big Data and Information Security, IWBIS 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages65-69
Number of pages5
ISBN (Electronic)9781509034772
DOIs
Publication statusPublished - 6 Mar 2017
Event2016 International Workshop on Big Data and Information Security, IWBIS 2016 - Jakarta, Indonesia
Duration: 18 Oct 201619 Oct 2016

Publication series

Name2016 International Workshop on Big Data and Information Security, IWBIS 2016

Conference

Conference2016 International Workshop on Big Data and Information Security, IWBIS 2016
CountryIndonesia
CityJakarta
Period18/10/1619/10/16

Keywords

  • Hadoop
  • MapReduce
  • big data
  • genome sequence alignment
  • multiple sequence alignment

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