Baylor College of Medicine: Researchers Develop Algorithm To Identify Microbial Contaminants In Low Microbial Biomass Microbiomes
November 22, 2022
November 22, 2022
HOUSTON, Texas, Nov. 22 (TNSjou) -- The Baylor College of Medicine issued the following news:
One of the major challenges in microbiome science has been distinguishing what is a potential environmental contaminant from a true, bona fide microbiome signal. Challenges associated with metagenomic sequencing with low biomass environments include the distinction between a true signal versus contamination, a remnant DNA from a sampling kit or extraction kit or the environment. While resea . . .
One of the major challenges in microbiome science has been distinguishing what is a potential environmental contaminant from a true, bona fide microbiome signal. Challenges associated with metagenomic sequencing with low biomass environments include the distinction between a true signal versus contamination, a remnant DNA from a sampling kit or extraction kit or the environment. While resea . . .