Shahid Ullah*, Wajeeha Rahman, Farhan Ullah, Gulzar Ahmad, Muhmmad ijaz and Tianshun Gao*
Background: High-throughput sequencing technologies are increasingly generating data of all species including fungi. Therefore the first challenge of omics data was the design and use of electronic databases to store and manage the stormy amount of knowledge. In biological experiments, biological databases for structure and function analysis and estimation are immensely beneficial. A multitude of such databases are currently available, which help in the comprehension of complicated problems relating to fungal species.
Objectives: As a result, we have assembled almost all fungal databases from previously published works into one platform, with the aim of saving and providing an easy, coordinated platform to the entire fungi research community.
Methods: 82 fungal databases were compiled and grouped into 5 categories based on their various properties, including the Genomic database, Proteomic database, Transcriptomics database, Pathway database, and Structure database.
Results: Under numerous conditions, the available resources have led to the efficient understanding of fungal databases. Each category is given with a brief introduction; users can query the appropriate information in two ways, by clicking image expression icon, or by typing directly name in the query-bar which is on the top of the database. FDBC is developed in PHP, HTML, CSS, MySQL, and JavaScript.
Conclusion: We have provided a set of fungal databases from previously published work, and have built the database of these databases named “FDBC (Fungal Databases Collection)” will be modified in due time.
