Fungal omics (including genomics, transcriptomics, metabolomics, proteomics, and lipidomics) are now broadly used and studied to help understand both the basic fungal biology and associated applications. Due to the advantages of the Next-Generation Sequencing (NGS) techniques, bioinformatics technology, and the relatively smaller size of fungal genomes as compared to other eukaryotes, sequencing and analysis of fungal genomics become much easier. Along with the acquisition of fungal genomic data, other omic data have been increasingly reported. Appropriate data mining of these omic data in depth and the obtained information can benefit our understanding of the complex of fungal biological processes from genotype and physiology to phenotype, including cell-cell (microbial) communications and pathogen-host interactions and beyond. 

In this special issue, we are trying to focus on the most recent studies based on fungal omics related area, including but not limited to fungal genomics, proteomics, and lipidomics. The papers focusing on all aspects of fungal omics such as fungal associated human diseases, drug developments, biomarker screenings (e.g., vaccine targets), fungal evolution, and biodiversity are all welcomed to be submitted to this issue. In particular, we welcome the developments of new bioinformatic tools (including informatics platforms) for high throughput omic data analysis.

This Special Issue is open to all related original research articles, reports as well as reviews.

Potential topics include but are not limited to the following:

• Fungal omics
• Bioinformatic approaches and tools developed for (fungal) omic data analysis
• Fungal physiology and biology revealed by the omic data
• Fungal evolution and biodiversity analysis
• Other applications that can help interpret fungal omic data
• Microbial omics (not limited to fungal omics) and Metagenomics