id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-102613-hly07ne3	Danko, David	Global Genetic Cartography of Urban Metagenomes and Anti-Microbial Resistance	2020-05-04		.txt	text/plain	6548	360	55	We identified covariates which influenced the taxonomic composition 204 of our samples: city, population density, average temperature in June, region, elevation above sea-level, 205 surface type, surface material, elevation above or below ground and proximity to the coast. To quantify how the principle covariates, climate, continent, and surface material impacted the taxo-213 nomic composition of samples, we performed a Principal Component Analysis (PCA) on our taxonomic 214 data normalized by proportion and identified principal components (PCs) which were strongly associated 215 with a metadata covariate in a positive or negative direction (PCs were centered so an average direction 216 indicates an association). In general, negative controls had 798 lower k-mer complexity, fewer reads, and lower post PCR Qubit scores than case samples and no major Previous studies have reported that microbial species whose relative abundance is negatively cor-803 related with DNA concentration may be contaminants.	./cache/cord-102613-hly07ne3.txt	./txt/cord-102613-hly07ne3.txt