Journal: Scientific Reports

Article Title: Functional profiling of COVID-19 respiratory tract microbiomes

doi: 10.1038/s41598-021-85750-0

Figure Lengend Snippet: Overall analysis workflow and two-dimensional projection of functional profiles. ( A ). Each microbiome sequencing sample is annotated with PRROMenade, utilizing labeled reference data from the IBM Functional Genomic Platform. The resulting functional profiles are visualized and compared in downstream analyses. ( B ). Multidimensional scaling of the functional profiles using the Spearman distance. Each sample is represented by a marker colored by cohort and labeled by the sample number within that cohort.

Article Snippet: Multidimensional scaling (Matlab function cmdscale, \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$p = 2$$\end{document} p = 2 ) and permutational multivariate analysis of variance (f_permanova, \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$iter=100,000$$\end{document} i t e r = 100 , 000 , from the Fathom toolbox for Matlab) were applied on pairwise Spearman’s distances (Fig. B).

Techniques: Functional Assay, Sequencing, Labeling, Marker

Journal: Scientific Reports

Article Title: Functional profiling of COVID-19 respiratory tract microbiomes

doi: 10.1038/s41598-021-85750-0

Figure Lengend Snippet: Altered pathways in COVID-19 The most differential pathways in COVID-19 (with dist. \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\ge 2$$\end{document} ≥ 2 ) are shown in the table.

Article Snippet: Multidimensional scaling (Matlab function cmdscale, \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$p = 2$$\end{document} p = 2 ) and permutational multivariate analysis of variance (f_permanova, \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$iter=100,000$$\end{document} i t e r = 100 , 000 , from the Fathom toolbox for Matlab) were applied on pairwise Spearman’s distances (Fig. B).

Techniques: Glycoproteomics