@inproceedings{c9f71a02e7a440158348512f9202fb6d,
title = "A survey of whole genome alignment tools and frameworks based on Hadoop's MapReduce",
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.",
keywords = "Hadoop, MapReduce, big data, genome sequence alignment, multiple sequence alignment",
author = "Purbarani, {Sumarsih C.} and Sanabila, {Hadaiq R.} and Anom Bowolaksono and Budi Wiweko",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 International Workshop on Big Data and Information Security, IWBIS 2016 ; Conference date: 18-10-2016 Through 19-10-2016",
year = "2017",
month = mar,
day = "6",
doi = "10.1109/IWBIS.2016.7872891",
language = "English",
series = "2016 International Workshop on Big Data and Information Security, IWBIS 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "65--69",
booktitle = "2016 International Workshop on Big Data and Information Security, IWBIS 2016",
address = "United States",
}