Analysis of Chromosome 20 - A Study
Kristiina Ausmees, Pushpam Aji John

TL;DR
This paper utilizes advanced data processing technologies to analyze genetic sequencing data from the 1000 Genomes Project, focusing on structural variations across different populations.
Contribution
It develops and evaluates a framework for analyzing large-scale genetic sequencing data and studying structural variations among population groups.
Findings
Framework effectively processes large genetic datasets.
Identifies structural variations across populations.
Demonstrates the utility of new data technologies in genetics.
Abstract
Since the arrival of next-generation sequencing technologies the amount of genetic sequencing data has increased dramatically. This has has fueled an increase in human genetics research. At the same time, with the recent advent of technologies in processing large data sets, lot of these technologies are proving valuable and efficient in analyzing these huge datasets. In this paper we use some of these technologies to analyze genetic sequencing data of 1000 Genomes Project,produce and evaluate a framework to process the sequencing data thereof and look into structural variations with respect to population groups.
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Taxonomy
TopicsAlgorithms and Data Compression · Genomics and Phylogenetic Studies · Epigenetics and DNA Methylation
