INTRODUCTION
T1D
TYPE 1 DIABETES, DISEASES
The human microbiome is the entirety of the microorganisms that reside in and on the human body. The advances in high-throughput sequencing have greatly lowered the cost for microbiome profiling and improved the accuracy of the microbiome data. Then, investigators have found that the dysbiosis of the human microbiome is linked to numerous human diseases, for example, through studies on the effects of a medical treatment on human microbiome (There have also been many analytic pipelines and tools that are developed for microbiome data processing and downstream data analysis. Some example microbiome profiling pipelines are QIIME (However, for downstream microbiome data analysis, there is currently no web cloud platform available to analyze microbiome data with survival (i.e., time-to-event) responses. Investigators have been conducting numerous clinical trials, for example, to probe for the treatment effects on human microbiome (We therefore introduce here an integrative web cloud platform, called MiSurv, for microbiome data analysis with survival responses. MiSurv is a user-friendly step-by-step analytic pipeline like our previous web cloud platform, MiCloud (Overall workflow. MiSurv consists of a data processing module and its following four data analytic modules.In the following Results section, we delineate all the details for each module, while demonstrating them step-by-step through an example trial on the effects of antibiotic use on the survival rate against type 1 diabetes (T1D) onset (i.e., time-to-T1D onset) and gut microbiome composition, respectively, as well as the roles of the gut microbiome on the survival rate against T1D onset (