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Bacterial Resequencing Analysis

Bacterial Resequencing Analysis Online Inquiry

As one of the providers of fungal resequencing data analysis, CD Genomics uses bioinformatics to help you explore the fungal large-scale sequencing data information. Our unique data analysis skills and advanced software tools can meet our customers' personalized laboratory data analysis needs and provide you with easy-to-interpret data analysis reports.

Introduction of Bacterial Resequencing

Bacterial genome re-sequencing refers to a sequencing method for performing bacterial genome sequencing on a bacterial individual whose genome sequence is known, and comparing the known reference genome to obtain the bacterial individual or population difference. Bacterial genome resequencing can discover unknown genetic variation information. With next-generation sequencing, bacterial genome resequencing can obtain higher data throughput, faster speed, and lower cost.

By comparing with known reference genomes using bioinformatics, we can obtain the different sequences of the individual or group of bacteria. These differences mainly include SNP, InDel and SV. At the same time, further studies on species evolution, population characteristics, and selection pressure can be conducted. At present, bacterial genome resequencing is widely used in the detection and identification of pathogenic microorganisms, the evolution and origin of pathogens, the population structure of pathogenic bacteria and the evolution of population structure.

Bacterial genome resequencing data analysis.Fig 1. Circular representation of sequence conservation between A. pleuropneumoniae serovar 5b strain L20 and 11 strains belonging to different serovars. (Xu Z,, et al. 2010)

Application Field

Bacterial genome re-sequencing data analysis can be applied for but is not limited to the following:

Microbial evolution analysis

Gene discovery

Environmental and Ecological Research

Disease and personalized medicine

Our Advantages

An experienced analytical team

Standardized analysis process

Strict data quality control

Reliable analysis results

Fast analysis cycle

CD Genomics Data Analysis Pipeline

CD Genomics bacterial genome resequencing data analysis pipeline - CD Genomics.

Bioinformatic Analysis Content

Bacterial genome resequencing data analysis can comprehensively detect SNP, InDel, SV and other genetic variant types. CD Genomics provides service on bacterial genome resequencing data analysis. We ensure data reliability through strict data quality control.

Data preprocessing Data quality control
Data statistics
Remove adapter
Remove low quality reads
Map to reference genome Assembly of genomes into contigs
Map to reference genome
Reference genome alignment statistics (based on reads and contigs)
Variance analysis SNP, INDEL detection and annotation (based on reads and contigs)
CNV, SV analysis (based on reads and contigs)
Visualization of non-synonymous SNP and Indel
Evolutionary tree reconstruction based on group SNP
PCA Analysis Based on Group SNP
Evolutionary analysis Evolutionary analysis (based on reads and contigs)

If you have any custom analysis request for bacterial genome resequencing data, such as functional analysis of unique areas, foreign insert detection and drug resistance sites detection, please contact us. We will design an analysis strategy that is suitable for you. For any questions on analysis content, price, or cycle, please use 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 over a decade of experience in bacterial genome resequencing data analysis. We can help you with your project from experimental data all the way to delivering a report at a competitive price. If you have any questions, please get in touch. We look forward to working with you!


  1. Xu Z,, et al. Comparative Genomic Characterization of Actinobacillus pleuropneumoniae [J]. Journal of bacteriology, 2010, 192(21):5625-5636.
* For Research Use Only. Not for use in diagnostic procedures.
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