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Fungal De Novo Sequencing Analysis

Fungal De Novo Sequencing Analysis Online Inquiry

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.

Introduction to Fungal De Novo Sequencing Analysis

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.

Functional classification of F. graminearum proteins and comparison to other fungi.Fig 1. Functional classification of F. graminearum proteins and comparison to other fungi.(Christina A. C, et al..2007.)

Application Field

Research on plant pathogenic fungi.

Edible fungus research.

Research on medicinal fungi.

Research on biological control of fungi.

Industrial yeast research.

Advantages of CD Genomics

An experienced analytical team.

Standardized analysis process.

Strict data quality control.

Reliable analysis results.

Fast analysis cycle.

CD Genomics Data Analysis Pipeline

CD Genomics fungal de novo sequencing data analysis pipeline - CD Genomics.

Bioinformatics Analysis Content

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.

How It Works

CD Genomics is a professional bioinformatics service provider with years of experience in NGS and long read sequencing (PacBio SMRT and Oxford Nanopore platforms) data analysis, integrated analysis services, database construction and other bioinformatics solutions.

How It Works

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.


  1. Christina A. C, et al. The Fusarium graminearum Genome Reveals a Link Between Localized Polymorphism and Pathogen Specialization. Science. 2007 Sep 7;317(5843):1400-2
* For Research Use Only. Not for use in diagnostic procedures.
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