Using populations of human and microbial genomes for organism detection in metagenomes.

ABSTRACT: Identifying causative disease agents in human patients from shotgun metagenomic sequencing (SMS) presents a powerful tool to apply when other targeted diagnostics fail. Numerous technical challenges remain, however, before SMS can move beyond the role of research tool. Accurately separating the known and unknown organism content remains difficult, particularly when SMS is applied as a last resort. The true amount of human DNA that remains in a sample after screening against the human reference genome and filtering nonbiological components left from library preparation has previously been underreported. In this study, we create the most comprehensive collection of microbial and reference-free human genetic variation available in a database optimized for efficient metagenomic search by extra

SUBMITTER: Ames SK 

PROVIDER: S-EPMC4484388 | biostudies-literature | 2015 Jul

REPOSITORIES: biostudies-literature