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Related Concept Videos

Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
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Introductory Analysis and Validation of CUT&RUN Sequencing Data
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WEB-based GEne SeT AnaLysis Toolkit (WebGestalt): update 2013.

Jing Wang1, Dexter Duncan, Zhiao Shi

  • 1Department of Biomedical Informatics, Vanderbilt University, Nashville, TN 37203, USA.

Nucleic Acids Research
|May 25, 2013
PubMed
Summary
This summary is machine-generated.

WebGestalt is a popular gene list analysis tool that has expanded its capabilities. The updated version supports more organisms and gene identifiers, offering broader functional category coverage and interactive visualizations for omics research.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Functional enrichment analysis is crucial for interpreting omics data.
  • WebGestalt (WEB-based GEne SeT AnaLysis Toolkit) is a widely used software for this purpose.
  • The tool has evolved significantly since its 2005 inception.

Purpose of the Study:

  • To present the updated features and expanded capabilities of WebGestalt.
  • To highlight the tool's enhanced data holdings and functional category coverage.
  • To introduce new interactive visualization features for improved result interpretation.

Main Methods:

  • WebGestalt integrates data from multiple databases and computational analyses.
  • It supports 8 organisms and 201 gene identifiers across various platforms.
  • The toolkit incorporates functional categories from Gene Ontology, pathways, networks, and disease/drug associations.

Main Results:

  • The current WebGestalt version offers extensive functional category coverage (78,612 categories).
  • It supports a wide range of biological contexts, including gene-phenotype and gene-disease associations.
  • New interactive features like pathway maps and network visualizations are integrated.

Conclusions:

  • WebGestalt provides a comprehensive and user-friendly platform for functional enrichment analysis.
  • Its expanded data and features cater to the growing needs of the omics community.
  • The tool is freely accessible online for researchers worldwide.