Bacterial De Novo Sequencing Analysis

CD Genomics provides bacterial de novo sequencing data analysis. Using bioinformatics to explore the whole genome sequence map of bacteria in one step, our unique data analysis skills and advanced software tools can meet our customers' personalized data analysis needs and provide you with easy-to-interpret data analysis reports.

Bacterial De Novo Sequencing Analysis

Bacterial genome de novo sequencing is a method to obtain the whole genome sequence of bacteria through genome sequencing and assembly without reference genome, and carrying out structural and functional research on it. After sequencing these bacteria, a series of follow-up studies of the species will be conducted, so as to better understand and control the characteristics and physiological processes of the strain. Bacterial de novo sequencing has replaced the traditional methods for studying the genetic mechanism and key functional genes of bacterial evolution.

Bioinformatic analysis of bacterial genome de novo sequencing is based on assembly, to perform genome composition analysis, functional annotation, single gene or gene interaction, expression regulation and other functions. In addition, important genes and proteins can be predicted to understand bacterial function and possible related mechanisms.

Fig 1. Whole-genome phylogenetic tree of ExPEC E. coli isolates. (Salipante S J, et al.2014.)

Application Field

Pathogenic bacteria pathogenicity and disease prevention and treatment research.

Identification of disease-related genes.

Vaccine development and research.

Development of new antibiotics.

Evolutionary analysis.

Advantages of CD Genomics

Thoroughly planned analysis process, fast delivery and short cycle time.

Rich and in-depth analysis content.

Personalized analysis and chart making.

Rich experience in bacterial genome analysis.

CD Genomics Data Analysis Pipeline

Bioinformatics Analysis Content

CD Genomics processes bacterial 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 bioinformatic analysis strategies according to 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
Genome structure research	Coding/non-coding gene prediction
	Repeat sequence analysis
	Gene island prediction
	Prophage prediction
	CRISPR prediction
Gene function annotation	Functional database comments (such as GO, COG, KEGG, SwissProt,)
	Genomic methylation modification analysis
Pathogenic research Correlation Analysis	Secretory system effector protein prediction
	Pathogen-host interaction analysis
	Secreted protein analysis
	Gene cluster analysis of secondary metabolites
	Annotation of virulence factors and drug resistance genes of bacterial pathogens

If you have other requirements for bacterial genome de novo sequencing bioinformatic analysis, for example, collinearity analysis between genomes, mutation detection between genomes, Core-pan gene analysis, and evolutionary tree construction, we will provide the right biological information analysis strategy according to your needs. For analysis content, price, cycle, if you have any questions, please use online inquiry.

How It Works

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 provides general and customized analyses of bacterial genome de novo sequencing data. With experienced teams of scientists, we provide fast turnaround, high-quality data reports at competitive prices for worldwide customers. Customers can contact our scientists directly to receive prompt responses. If you are interested in our services, please contact us for more detailed information.

Reference

1. Salipante S J, et al. Large-scale genomic sequencing of extraintestinal pathogenic Escherichia coli strains. Genome Research, 2014, 25(1).