id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-272513-umuiovrd	Bindayna, Khalid Mubarak	Variant analysis of SARS-CoV-2 genomes in the Middle East	2020-10-09		.txt	text/plain	3033	217	59	We also aim to analyse the variants of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) to characterise the common genome variants and provide useful data in the global effort to prevent further spread of COVID-19. Methods The approach uses bioinformatics approaches including multiple sequence alignment, variant calling and annotation and phylogenetic analysis to identify the genomic variants found in the region. The approach uses 122 samples from the 13 countries of the Middle East sourced from the Global Initiative on Sharing All Influenza Data (GISAID). Variant alignment and phylogenetic tree generation indicates that samples from Iran likely introduced COVID-19 to the rest of the Middle East. • Our hypothesis is that variants found in SARS-CoV-2 genomes from Middle Eastern samples will indicate delivery from Iran. • The aim is to explore the structure of Middle Eastern genome strains using multiple sequence alignment, tree generation and variant prediction (and others).	./cache/cord-272513-umuiovrd.txt	./txt/cord-272513-umuiovrd.txt