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.
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
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 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 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!
Reference
- Xu Z,, et al. Comparative Genomic Characterization of Actinobacillus pleuropneumoniae [J]. Journal of bacteriology, 2010, 192(21):5625-5636.
