Comparative Genomics Analysis

Comparative Genomics Analysis Online Inquiry

Bioinformatics-Analysis, a division of CD Genomics, has a professional bioinformatics analysis team and rich experience in biological data analysis projects. We provide customers with professional comparative genomics data analysis services, aiming to help you understand the function of genes, expression mechanisms and biological research of the genetic relationship of different species.

Introduction

The implementation of The Human Genome Project opened the genome era. With the continuous advancement of sequencing technology and the decline of sequencing costs, more and more species genomes are sequenced. With the generation of genome data of various species (such as prokaryotes and eukaryotes) and the deepening of research, it has broadened human's horizons on species evolution and the tree of life, and promoted the research of comparative genomics among species.

Comparative genomics is based on genome mapping and sequencing technology to compare and analyze the structure and functional gene regions of multiple individual (population) genomes of a species or multiple species genomes. The structural and functional gene regions of the genome mainly include DNA sequences, genes, gene families, gene sequencing, regulatory sequences, and other structural markers of the genome. Comparative genomics analysis, specifically speaking, is to compare the structural characteristics of the genomes of multiple species with the help of bioinformatics methods to find out the similarities and differences. Further study the contraction and expansion of gene families between species, differentiation time and evolution relationship, as well as the generation and evolution of new genes.

Comparative genomics analyses -the genomic features of E. ferox and C. demersum and distribution of average synonymous substitution levels (Ks) between syntenic blocks. Fig 1. Comparative genomics analyses -the genomic features of E. ferox and C. demersum and distribution of average synonymous substitution levels (Ks) between syntenic blocks. (Yang, Y, et al. 2020.)

Advantages of CD Genomics

Scientific scheme design.

Strict quality control management.

Professional analysis team.

 Rich project experience.

High quality project service and cost-effective.

CD Genomics Data Analysis Pipeline

CD Genomics Data Analysis Pipeline

Bioinformatics Analysis Content

CD Genomics provides comprehensive comparative genomics data analysis services. Comparative genomics analysis compares the protein sequence or gene position and relative order of multiple species, including gene loss, duplication, and horizontal transfer. Identifying genes that are conserved between species (finding similarities in species), or genes unique to a certain organism (finding differences in species), aiming to explain the molecular genetic basis of species diversity. CD Genomics has a complete, fast, efficient, sensitive and highly accurate comparative genomics data analysis pipeline, and provide you with fast, efficient and comprehensive analysis content.

Data pre-processing Data quality control and data normalization
Data statistics
System evolution analysis Gene family cluster analysis
Find out orthologous genes
System evolution analysis
Estimation of species divergence time
Functional Analysis Identify gene fusions and gene clusters
Signal pathway gene cluster reconstruction
The expansion and contraction of gene families
Positive selection analysis
Genome-wide analysis Genome-wide replication event
Genome-wide collinearity comparison

Turnaround Time

Turnaround Time

About one to two weeks, it's related to the content of project, and depending on the number of samples and the quality and size of the sample data. For more information, please click online inquiry.

CD Genomics has over a decade of experience in bioinformatics data analysis. We can help your project from experimental data (such as sequencing services) to all analyses, and provide results reports at competitive prices. For comparative genomics data analysis, we can also provide you with personalized customized analysis services to fully meet your research needs. If you have any questions about how we can help you, please get in touch. We wholeheartedly look forward to working with you!

References

  1. Yang, Y, et al. Prickly waterlily and rigid hornwort genomes shed light on early angiosperm evolution[J]. Nature Plants, 2020. 6(3): 215-222.
  2. Nobrega M A, Pennacchio L A. Comparative genomic analysis as a tool for biological discovery[J]. The Journal of Physiology, 2004, 554(1):31-39.
* For Research Use Only. Not for use in diagnostic procedures.
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