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Related Experiment Video

Updated: Jun 24, 2025

A Clinical Metaproteomics Workflow Implemented within Galaxy Bioinformatics Platform to Analyze Host-Microbiome Interactions Underlying Human Disease
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Wekemo Bioincloud: A user-friendly platform for meta-omics data analyses.

Yunyun Gao1, Guoxing Zhang2, Shunyao Jiang2

  • 1Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen Chinese Academy of Agricultural Sciences Shenzhen China.

Imeta
|June 13, 2024
PubMed
Summary
This summary is machine-generated.

Wekemo Bioincloud addresses scalability challenges in microbiome data analysis with a specialized platform. It offers 22 workflows and 65 tools for user-friendly, privacy-assured -omics studies.

Keywords:
Wekemo Bioincloudbioinformaticsmeta‐omicsmicrobiomeuser‐friendly platform

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Area of Science:

  • Microbiology
  • Bioinformatics
  • Computational Biology

Background:

  • Meta-omics approaches generate vast amounts of microbial community data.
  • Existing bioinformatics tools face scalability challenges with increasing human and environmental microbiome datasets.
  • Selecting appropriate tools for complex -omics analysis is difficult for researchers.

Purpose of the Study:

  • To introduce Wekemo Bioincloud, a specialized platform designed to overcome the scalability limitations of bioinformatics tools for -omics studies.
  • To provide a comprehensive and user-friendly solution for analyzing diverse microbiome data.
  • To facilitate efficient and secure data analysis through personalized dashboards and online modification capabilities.

Main Methods:

  • Development of Wekemo Bioincloud, a cloud-based platform for -omics data analysis.
  • Integration of 22 distinct analytical workflows.
  • Inclusion of 65 diverse visualization tools.
  • Implementation of online vector output modification.
  • Establishment of a registration-independent personalized dashboard system for privacy and traceability.

Main Results:

  • Wekemo Bioincloud is equipped with 22 workflows and 65 visualization tools.
  • The platform is user-friendly and widely adopted for diverse datasets.
  • It enables online modification of vector outputs.
  • A personalized dashboard system ensures data privacy and traceability.
  • The platform is freely available.

Conclusions:

  • Wekemo Bioincloud effectively addresses the scalability challenges posed by large microbiome datasets.
  • The platform provides a comprehensive, user-friendly, and secure environment for meta-omics research.
  • It empowers researchers to conduct in-depth analysis of microbial communities.