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QIIME (English: / tʃ aɪ m / ch-eye-m) [1] is a bioinformatics data science platform, originally developed for analysis of high-throughput microbiome marker gene (e.g., 16S or 18S rRNA genes) amplicon sequencing data. There have been two major versions of the QIIME platform, QIIME 1 [2] and QIIME 2. [3]
Graphic depicting the human skin microbiota, with relative prevalences of various classes of bacteria. The human microbiome is the aggregate of all microbiota that reside on or within human tissues and biofluids along with the corresponding anatomical sites in which they reside, [1] [2] including the gastrointestinal tract, skin, mammary glands, seminal fluid, uterus, ovarian follicles, lung ...
The microbiome is defined as a characteristic microbial community occupying a reasonable well-defined habitat which has distinct physio-chemical properties. The microbiome not only refers to the microorganisms involved but also encompass their theatre of activity, which results in the formation of specific ecological niches.
The microbiome present in seminal fluid has been evaluated. Using traditional culturing techniques the microbiome differs between men who have acute prostatitis and those who have chronic prostatitis. Identification of the seminal fluid microbiome has become one of the diagnostic tools used in treating infertility in men that do not display ...
The five-year project, best characterized as a feasibility study with a budget of $115 million, tested how changes in the human microbiome are associated with human health or disease. [85] The Earth Microbiome Project (EMP) is an initiative to collect natural samples and analyze the microbial community around the globe.
Gut microbiota, gut microbiome, or gut flora are the microorganisms, including bacteria, archaea, fungi, and viruses, that live in the digestive tracts of animals. [1] [2] The gastrointestinal metagenome is the aggregate of all the genomes of the gut microbiota. [3] [4] The gut is the main location of the human microbiome. [5]
A microbiome-wide association study (MWAS), otherwise known as a metagenome-wide association study (MGWAS), is a statistical methodology used to examine the full metagenome of a defined microbiome in various organisms to determine if some feature (as example, gene or species) of the microbiome is associated with a host trait.
The mycobiome, mycobiota, or fungal microbiome, is the fungal community in and on an organism. [1] [2] [3] The word “mycobiome” comes from the ancient Greek μύκης (mukēs), meaning "fungus" with the suffix “biome” derived from the Greek βίος (bíos), meaning “life.” The term was first coined in the 2009 paper by Gillevet et ...
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