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MiSurv: an Integrative Web Cloud Platform for User-Friendly Microbiome Data Analysis with Survival Responses.

Won Gu1, Hyunwook Koh1, Hyojung Jang1

  • 1Department of Applied Mathematics and Statistics, The State University of New York, Korea, Incheon, South Korea.

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|April 11, 2023
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Summary

Researchers developed MiSurv, a web platform for analyzing microbiome data alongside survival outcomes. This tool integrates data processing and analysis modules to explore treatment effects on human health and the microbiome.

Keywords:
association analysismicrobiome data analysisprediction modelingsurvival analysisweb cloud platform

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Area of Science:

  • Microbiome research
  • Computational biology
  • Survival analysis

Background:

  • Clinical trials often generate survival data (time-to-event) stratified by treatment groups.
  • Existing web platforms facilitate microbiome data processing but lack survival analysis integration.
  • Understanding the interplay between the microbiome, treatments, and disease progression is crucial.

Purpose of the Study:

  • To introduce MiSurv, an integrative web cloud platform for analyzing microbiome data with survival responses.
  • To provide a comprehensive solution for microbiome data processing and survival analysis in clinical research.

Main Methods:

  • MiSurv comprises a data processing module and four analytical modules: comparative survival analysis, microbial composition comparison, microbiome-survival association testing, and predictive modeling.
  • The platform was demonstrated using a trial examining antibiotic effects on type 1 diabetes (T1D) onset and gut microbiome composition, and the microbiome's role in T1D survival.

Main Results:

  • MiSurv enables comparative survival analysis between treatment groups based on microbiome data.
  • It facilitates analysis of microbial composition differences and associations with survival outcomes.
  • The platform supports the development of predictive models for survival using microbial taxa.

Conclusions:

  • MiSurv addresses the unmet need for a web-based platform combining microbiome and survival data analysis.
  • The platform offers a valuable tool for researchers investigating treatment effects, microbiome roles, and disease progression.
  • MiSurv is accessible via a web server and local installation for broad research community adoption.