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By comparing the genome sequences at the individual or population level, genomic variations can be analyzed. Molecular breeding based on resequencing includes a variety of applications, such as functional gene or marker detection, functional characterization of genes, and new varieties development. To date, we have successfully completed the Silkworm, Maize, and Soybean Projects, and have gained much experience from many other on-going plant and animal resequencing projects.


  1. Deep experience in high throughput whole genome sequencing
  2. Rapid turnaround and competitive cost
  3. Advanced bioinformatics analysis with reliable results
  4. Customized analysis available

Genome Sequence of Foxtail Millet (Setaria italica) Provides Insights into Grass Evolution and Biofuel Potential. Nature Biotechnology. 30, 549–554 (2012).

foxtail milletFoxtail millet (Setaria italica), a member of the Poaceae grass family, is an important food and fodder crop in arid regions and has potential for use as a C4biofuel. It is a model system for other biofuel grasses, including switch grass and pearl millet. The genetic and genomic data of economically important grasses are an invaluable resource for comparative and functional genomics studies.

Genome-wide Patterns of Genetic Variation Among Elite Maize Inbred Lines. Nature Genetics. 42, 1027-1030 (2010).

Nature Genetics
Generated a whole genome map of single nucleotide polymorphisms, insertion/deletion variation and the gene content variation among elite maize lines in China. The results provide a variable source for genetic studies, quantitative trait loci identification and molecular breeding of this important crop. It also provides additional clues to the molecular basis of heterosis.

Resequencing of 31 Wild and Cultivated Soybean Genomes Identifies Patterns of Genetic Diversity and Selection. Nature Genetics. 42, 1053-1059 (2010).

Provided important information to facilitate soybean breeding program. The soybean genome resequencing project generated a huge amount of genomics data to expedite future soybean research, such as population studies, marker-assisted breeding application, and gene function identification.


  1. Data filtering (removing adaptors contamination and low-quality reads from raw reads)
  2. Alignment
  3. Statistics of data production
  4. SNP calling, annotation and statistics

Advanced Analysis:

  1. Individual Level
    1. InDel detection, annotation and statistics
    2. Structure variation detection, annotation and statistics
  2. Population Level
    1. Linkage disequilibrium (LD) Analysis
    2. Structure variation detection, annotation and statistics
    3. Phylogeny tree analysis
    4. Population structure analysis
    5. Principal component analysis (PCA)
    6. DNA sequence polymorphisms analysis
    7. InDel detection, annotation and statistics

Sample Requirements:

For the genomic DNA samples you will provide:

  1. Purity: OD260/280=1.8-2.0, without degradation and RNA contamination
  2. Concentration: ≥25 ng/μl
  3. DNA amount: library preparation starts from at least 2.5μg, the greater the amount the better

Recommended Data Amount:

For individual research, the recommended sequencing depth is about 30X.

For population research, the recommended sequencing depth is 5X~15X.

Turnaround Time:

The standard turnaround time for the workflow (above) is about 50 business days, and it depends on circumstances.