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Isolation of Culturable Yeasts and Molds from Soils to Investigate Fungal Population Structure

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CADRE: the Central Aspergillus Data REpository 2012.

Jane Mabey Gilsenan¹, John Cooley, Paul Bowyer

¹School of Translational Medicine, University of Manchester, Manchester M23 9LT, UK. jane.gilsenan@manchester.ac.uk

Nucleic Acids Research

|November 15, 2011

Summary

The Central Aspergillus Data Repository (CADRE) provides a vital public resource for Aspergillus genomic data. Recent upgrades prepare CADRE to manage the expected influx of data from advanced sequencing technologies.

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Area of Science:

Mycology
Genomics
Bioinformatics

Background:

The Central Aspergillus Data Repository (CADRE) was established to address the need for genomic data on Aspergillus species, particularly the human pathogen Aspergillus fumigatus.
Initially, CADRE aimed to collate and maintain limited Aspergillus genomic resources, expanding over time to include eight additional species.
The repository supports the international research community studying this significant fungal genus.

Purpose of the Study:

To provide a comprehensive public resource for Aspergillus genomic data.
To offer online tools for searching and visualizing genomic features of Aspergillus species.
To prepare for and manage the anticipated large volume of genomic data from emerging sequencing technologies.

Main Methods:

Development and maintenance of a public database for Aspergillus genomic data.
Implementation of online tools for data searching and visualization.
Upgrading the database and software suite to accommodate increased data complexity and volume.

Main Results:

CADRE currently provides annotated sequences for nine Aspergillus species.
The resource offers essential support to the global Aspergillus research community.
Upgraded infrastructure enhances data management and annotation capabilities.

Conclusions:

CADRE is a crucial, evolving resource for Aspergillus genomics.
The repository is prepared for future data expansion driven by technological advancements.
Enhanced features improve data accessibility and research potential for the Aspergillus community.