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Candidiasis

Candidiasis

Candidiasis is a fungal infection caused by opportunistic species of Candida. It can affect various anatomical sites, including the skin, oral cavity, nails, and genitourinary tract. Among its forms, vaginal candidiasis is the most common type of mucosal infection. It typically results from the overgrowth of Candida albicans in the vaginal mucosa. Under normal conditions, C. albicans exists as a commensal organism within the vaginal microbiota, regulated by the dominance of lactobacilli, which...

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Updated: Jun 22, 2026

Whole Genome Sequencing of Candida glabrata for Detection of Markers of Antifungal Drug Resistance

Whole Genome Sequencing of Candida glabrata for Detection of Markers of Antifungal Drug Resistance

Published on: December 28, 2017

How to Use the Candida Genome Database.

Marek S Skrzypek¹, Jonathan Binkley¹, Gavin Sherlock²

¹Department of Genetics, Stanford University Medical School, S225 Grant Building, 259 Campus Drive, Stanford, CA, 94305-5120, USA.

Methods in Molecular Biology (Clifton, N.J.)

|November 1, 2015

Summary

This summary is machine-generated.

The Candida Genome Database (CGD) provides integrated genomic and functional data for Candida research. It offers tools to search, retrieve, and analyze gene information, aiding the study of Candida biology.

Keywords:

Candida Expression analysis GO slim Gene ontology Genome database

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Genome-wide Profiling of Transcription Factor-DNA Binding Interactions in Candida albicans: A Comprehensive CUT&RUN Method and Data Analysis Workflow

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Area of Science:

Microbiology
Bioinformatics
Genomics

Background:

Understanding Candida biology necessitates integrated genomic and functional data.
The Candida Genome Database (CGD) serves as a crucial resource for this purpose.

Purpose of the Study:

To describe how to effectively search, retrieve, and analyze information within the Candida Genome Database (CGD).
To guide users in navigating genomic assemblies and utilizing analysis tools for Candida research.

Main Methods:

Guided tour of CGD Home page and Locus Summary page.
Navigation of *C. albicans* genome assemblies.
Application of Gene Ontology (GO) tools for large-scale data analysis.
Accessing archived microarray data within CGD.

Main Results:

Demonstrates effective search and retrieval of Candida gene and protein functional information.
Illustrates the use of CGD tools for exploring biological roles of genes.
Provides methods for analyzing *C. albicans* genomic data and associated experimental results.

Conclusions:

CGD is an essential, user-friendly resource for Candida researchers.
The database facilitates comprehensive analysis of Candida genomics and functional data.
CGD empowers researchers to deepen their understanding of Candida biology.