id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
10_1101-2021_02_10_430604	Youngblut, Nicholas D.	Struo2: efficient metagenome profiling database construction for ever-expanding microbial genome datasets	2021	4	.pdf	application/pdf	1409	157	56	Struo2: efficient metagenome profiling database construction for ever-expanding microbial genome datasets 1 Struo2: efficient metagenome profiling database construction for ever-expanding 10 Mapping metagenome reads to reference databases is the standard approach for 12 reference databases often lack recently generated genomic data such as 15 method for constructing custom databases; however, the pipeline does not scale well with the 17 not allow for efficient database updating as new data are generated. 20 HUMAnN3 databases that can be easily updated with new genomes and/or individual gene Struo2 enables feasible database generation for continually increasing large-scale 25 ● Pre-built databases: http://ftp.tue.mpg.de/ebio/projects/struo2/ 26 ● Utility tools: https://github.com/nick-youngblut/gtdb_to_taxdump 28 Metagenome profiling involves mapping reads to reference sequence databases and is 39 computational resources, which led us to create Struo for straight-forward custom metagenome 54 CPU hours per genome versus ~2.4 for Struo (Figure 1B). 67 taxonomy (available at https://github.com/nick-youngblut/gtdb_to_taxdump ). (2020) Struo: a pipeline for building custom databases for 	./cache/10_1101-2021_02_10_430604.pdf	./txt/10_1101-2021_02_10_430604.txt