As a provider of fungal de novo sequencing data analysis, CD Genomics uses bioinformatics to help you explore the whole genome sequence map of fungal in one step. Our unique data analysis skills and appropriate software tools will exceed our clients' expectations on personalized laboratory data analysis and provide the most easy-to-interpret data analysis reports.
A fungus is any member of the group of eukaryotic organisms that includes microorganisms such as yeasts and molds, as well as the more familiar mushrooms. These organisms are classified as a kingdom, Fungi, which is separate from the other eukaryotic life kingdoms of plants and animals. Fungal genome research is a method of obtaining the whole genome sequence of fungi through genome sequencing and assembly, and carrying out structural and functional research on it.
Bioinformation analysis of fungal de novo sequencing data is to assemble sequencing data. By constructing a fungal genome map and predicting important genes and proteins of fungi, we can understand the function and mechanism of fungi. Sequencing analysis of fungal genome provides strong support for the follow-up research of fungi. For example, in the study of plant pathogenic fungi, the interaction and disease-related genes between pathogenic fungi and crops can be identified. In the study of edible fungi and medicinal fungi, it can be used to discover the complex metabolic pathways of fungi and identify their beneficial metabolites.
Fig 1. Functional classification of F. graminearum proteins and comparison to other fungi.(Christina A. C, et al..2007.)
Research on plant pathogenic fungi.
Edible fungus research.
Research on medicinal fungi.
Research on biological control of fungi.
Industrial yeast research.
An experienced analytical team.
Standardized analysis process.
Strict data quality control.
Reliable analysis results.
Fast analysis cycle.
CD Genomics can process fungal genomic data generated by next-generation sequencing or third-generation sequencing, and can handle data of different depths or sequencing strategies. We will adopt different bioinformatics analysis strategies for different types of raw data.
|Data preprocessing||Sequencing data statistics|
|Remove adapter sequence and low-quality sequence|
|Genome assembly||Genome assembly.|
|Evaluation of assembly results|
|Genomic component analysis||Fungal gene prediction|
|Fungal repeat sequence analysis|
|Fungal non-coding RNA prediction|
|Gene function annotation||Gene KEGG function annotation and statistics|
|Gene KOG function annotation and statistics|
|Gene SwissProt functional annotation and statistics|
|Gene NR function annotation and statistics|
|Gene GO function annotation and statistics|
|Gene structure analysis (Pfam)|
|Pathogenic research Correlation Analysis||Gene PHI function annotation and statistics|
|Gene CAZy function annotation and statistics|
|Fungal secreted protein prediction|
|Analysis of fungal secondary metabolic gene clusters|
If you need fungal genome de novo sequencing bioinformatic analysis, such as collinearity analysis, gene family analysis, common and unique gene analysis, or phylogenetic tree analysis, we will provide the right biological information analysis strategy based on your raw data and needs. For analysis content, price, cycle, or any other questions, please click online inquiry.
CD Genomics is a high-tech company specializing in multiomic data analysis. We provide services such as project design, data analysis, and database construction. With a focus on developing breakthrough products and services, we are a pioneer in the biotechnology industry, serving researchers and partners worldwide.
CD Genomics has successfully conducted fungal genome de novo sequencing data analysis on a variety of fungi species. Experienced teams of scientists, researchers, and technicians, we provide fast turnaround, high-quality data reports at competitive prices for worldwide customers. Customers can contact our employees directly and we will respond promptly. If you are interested in our services, please contact us for more detailed information.