PASTIC Dspace Repository

Robust Algorithm for Genome Sequence Short Read Error Correction using Hadoop-MapReduce

Show simple item record

dc.contributor.author Tahir, Muhammad
dc.date.accessioned 2017-12-15T07:17:14Z
dc.date.accessioned 2020-04-09T16:36:09Z
dc.date.available 2020-04-09T16:36:09Z
dc.date.issued 2016
dc.identifier.uri http://142.54.178.187:9060/xmlui/handle/123456789/2750
dc.description.abstract Biological sequences consist of A C G and T in a DNA structure and contain vital information of living organisms. The development of computing technologies, especially NGS technologies have increased genomic data at a rapid rate. The increase in genomic data presents significant research challenges in bioinformatics, such as sequence alignment, short-reads error correction, phylogenetic inference, etc. Next-generation high-throughput sequencing technologies have opened new and thought-provoking research opportunities. In particular, Next-generation sequencers produce a massive amount of short-reads data in a single run. However, these large amounts of short-reads data produced are highly susceptible to errors, as compared to shotgun sequencing. Therefore, there is a peremptory demand to design fast and more accurate statistical and computational tools to analyze these data. This research presents a novel and robust algorithm called HaShRECA for genome sequence short reads error correction. The developed algorithm is based on a probabilistic model that analyzes the potential errors in reads and utilizes the Hadoop-MapReduce framework to speed up the computation processes. Experimental results show that HaShRECA is more accurate, as well as time and space efficient as compared to previous algorithms. en_US
dc.description.sponsorship Higher Education Commission, Pakistan en_US
dc.language.iso en en_US
dc.publisher Iqra University Islamabad Campus, Pakistan en_US
dc.subject Applied Sciences en_US
dc.title Robust Algorithm for Genome Sequence Short Read Error Correction using Hadoop-MapReduce en_US
dc.type Thesis en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search DSpace


Advanced Search

Browse

My Account