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Updated: Jun 15, 2026

An Experimental and Bioinformatics Protocol for RNA-seq Analyses of Photoperiodic Diapause in the Asian Tiger Mosquito, Aedes albopictus

An Experimental and Bioinformatics Protocol for RNA-seq Analyses of Photoperiodic Diapause in the Asian Tiger Mosquito, Aedes albopictus

Published on: November 30, 2014

FungiNetDB: a uniform (pre-)processing platform for fungal expression data.

Sascha Schäuble¹, Daniela Albrecht-Eckardt², Gianni Panagiotou^1,3

¹Department of Microbiome Dynamics, Leibniz Institute for Natural Product Research and Infection Biology - Hans-Knöll-Institute (Leibniz-HKI), 07745 Jena, Germany.

|April 17, 2026

Summary

This summary is machine-generated.

FungiNetDB offers a comprehensive resource for fungal transcriptomics, integrating 139 datasets. This platform aids researchers in analyzing fungal gene expression and identifying virulence factors without needing programming skills.

Keywords:

database fungal pathogens gene expression warehouse

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Area of Science:

Mycology and Bioinformatics
Genomics and Transcriptomics
Computational Biology

Background:

Fungal pathogens pose increasing threats to human health and economies.
High-throughput technologies provide deep molecular insights into fungal mechanisms.
Existing fungal gene expression data is often siloed and difficult to compare across studies.

Purpose of the Study:

To develop a centralized, accessible platform for fungal transcriptomics data analysis.
To facilitate cross-project comparisons and identification of fungal biomarkers.
To overcome challenges related to data preprocessing and technological biases.

Main Methods:

Compilation of 139 fungal pathogenicity datasets.
Statistical analysis of over 2000 pairwise gene expression comparisons.
Development of a user-friendly web platform (FungiNetDB) for data exploration.

Main Results:

FungiNetDB provides a comprehensive fungal transcriptomics resource.
The platform enables exploration without programming knowledge.
Customizable filtering, cross-project comparisons, and data downloads are supported.

Conclusions:

FungiNetDB democratizes access to fungal transcriptomics data.
The resource supports multifaceted analysis of fungal gene expression.
It aids in identifying essential fungal components for survival and virulence.