VOLARE: visual analysis of disease-associated microbiome-immune system interplay

• Published in: BMC bioinformatics Vol. 20; no. 1; pp. 432 - 13
• Main Authors: Siebert, Janet C., Neff, Charles Preston, Schneider, Jennifer M., Regner, Emilie H., Ohri, Neha, Kuhn, Kristine A., Palmer, Brent E., Lozupone, Catherine A., Görg, Carsten
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 20.08.2019; BioMed Central; BMC
• Subjects: 16S; Analysis; Applications programs; Arthritis; Bacteroides - metabolism; Cohort Studies; CyTOF; Cytokine; Cytokines; Cytokines - metabolism; Cytometry; Data visualization; Disease; Experimentation; Gastrointestinal diseases; Gene sequencing; Health aspects; HIV; HIV Infections - immunology; HIV Infections - microbiology; Human immunodeficiency virus; Humans; Immune system; Immune System - metabolism; Immunodeficiency; Inflammatory bowel diseases; Inflammatory Bowel Diseases - microbiology; Inflammatory diseases; Intestine; Microbiological research; Microbiome; Microbiomes; Microbiota; Microorganisms; Multi-omic; Regression analysis; Rheumatic diseases; Ribosomal RNA; RNA; rRNA 16S; Software; Spondylarthritis - microbiology; Subject specialists; Technology application; Viruses; Visualization (Computer); United States; CyTOF; Data visualization; Multi-omic; 16S; Cytokine; Microbiome

Relationships between specific microbes and proper immune system development, composition, and function have been reported in a number of studies. However, researchers have discovered only a fraction of the likely relationships. "Omic" methodologies such as 16S ribosomal RNA (rRNA) sequenc...