Shih-Chi Su1,2,3, James E Galvin4, Shun-Fa Yang5,6, Wen-Hung Chung1,2, Lun-Ching Chang7. 1. Whole-Genome Research Core Laboratory of Human Diseases, Chang Gung Memorial Hospital, Keelung, Taiwan. 2. Department of Dermatology, Drug Hypersensitivity Clinical and Research Center, Chang Gung Memorial Hospital, Linkou, Taiwan. 3. Central Research Laboratory, XiaMen Chang Gung Hospital, Xiamen, China. 4. Comprehensive Center for Brain Health, Department of Neurology, Miller School of Medicine, University of Miami, Miami, Florida, USA. 5. Institute of Medicine, Chung Shan Medical University, Taichung, Taiwan. 6. Department of Medical Research, Chung Shan Medical University Hospital, Taichung, Taiwan. 7. Department of Mathematical Sciences, Florida Atlantic University, Boca Raton, Florida, USA.
Abstract
MOTIVATION: We proposed a wiSDOM (web-based inclusionary analysis Suite for Disease-Oriented Metagenomics) R Shiny application which comprises six functional modules: (1) Initial visualization of sampling effort and distribution of dominant bacterial taxa among groups or individual samples at different taxonomic levels; (2) Statistical and visual analysis of α diversity; (3) Analysis of similarity (ANOSIM) of β diversity on UniFrac, Bray-Curtis, Horn-Morisita or Jaccard distance and visualizations; (4) Microbial biomarker discovery between two or more groups with various statistical and machine learning approaches; (5) Assessment of the clinical validity of selected biomarkers by creating the interactive receiver operating characteristic (ROC) curves and calculating the area under the curve (AUC) for binary classifiers; and lastly (6) Functional prediction of metagenomes with PICRUSt or Tax4Fun. RESULTS: The performance of wiSDOM has been evaluated in several of our previous studies for exploring microbial biomarkers and their clinical validity as well as assessing the alterations in bacterial diversity and functionality. The wiSDOM can be customized and visualized as per users' needs and specifications, allowing researchers without programming background to conduct comprehensive data mining and illustration using an intuitive browser-based interface. AVAILABILITY AND IMPLEMENTATION: The browser-based R Shiny interface can be accessible via (https://lun-ching.shinyapps.io/wisdom/) and freely available at (https://github.com/lunching/wiSDOM). SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
MOTIVATION: We proposed a wiSDOM (web-based inclusionary analysis Suite for Disease-Oriented Metagenomics) R Shiny application which comprises six functional modules: (1) Initial visualization of sampling effort and distribution of dominant bacterial taxa among groups or individual samples at different taxonomic levels; (2) Statistical and visual analysis of α diversity; (3) Analysis of similarity (ANOSIM) of β diversity on UniFrac, Bray-Curtis, Horn-Morisita or Jaccard distance and visualizations; (4) Microbial biomarker discovery between two or more groups with various statistical and machine learning approaches; (5) Assessment of the clinical validity of selected biomarkers by creating the interactive receiver operating characteristic (ROC) curves and calculating the area under the curve (AUC) for binary classifiers; and lastly (6) Functional prediction of metagenomes with PICRUSt or Tax4Fun. RESULTS: The performance of wiSDOM has been evaluated in several of our previous studies for exploring microbial biomarkers and their clinical validity as well as assessing the alterations in bacterial diversity and functionality. The wiSDOM can be customized and visualized as per users' needs and specifications, allowing researchers without programming background to conduct comprehensive data mining and illustration using an intuitive browser-based interface. AVAILABILITY AND IMPLEMENTATION: The browser-based R Shiny interface can be accessible via (https://lun-ching.shinyapps.io/wisdom/) and freely available at (https://github.com/lunching/wiSDOM). SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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