Sample Requirements
- 150bp paired end sequencing
- Raw data, standard and customized data analysis
- Cloud-based data storage and delivery system
BGI is a recognized leader in De Novo Whole Genome Sequencing and has been involved in the sequencing and assembly of 1000s of De Novo genomes and affiliated research published in the world’s leading journals.
De novo sequencing refers to sequencing a novel genome where there is no reference sequence available for alignment.
The process of de novo genome sequencing involves the sequencing of small DNA fragments, and assembling the reads into longer sequences (contigs) and finally ordering the contigs to obtain the entire genome sequence.
With the advent of rapid, low-cost next-generation sequencing (NGS) technology, researchers can now obtain whole genome data for organisms previously considered too low a priority to sequence. The availability of this whole genome data has allowed large-scale genomic studies to be performed that were unimaginable just a few years ago.
We care for your samples from the start through to the result reporting. Highly experienced laboratory professionals follow strict quality procedures to ensure the integrity of your results.
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BGI provides various combinations of sequencing platforms, sequencing read-lengths and paired-end and mate-pair library options for De Novo whole genome sequencing applications for human, animal and microorganisms.
Services are performed on either the HiSeq X10 or Sequel platforms.
Note: The total quantity of sample required is also determined by the experimental strategy, as well as the type and number of libraries to be constructed.
Short-insert libraries
≥3 µg
2 kb large-insert libraries
≥20 µg
5 kb-6 kb large-insert libraries
≥20 µg
10 kb large-insert libraries
≥20 µg
Short-insert libraries
≥30 ng/ µL
OD260/280= 1.8-2.0
Large-insert libraries
≥133 ng/ µL
OD260/280= 1.8-2.0
In addition to raw data output, BGI offers a range of standard and customized bioinformatics pipelines for your whole genome sequencing project.
Filtering
K-mer depth distribution analysis and genome size estimation
Genome heterozygous rate estimation
Preliminary assembly
Genome Assembly
GC-Depth distribution analysis
GC-Content distribution analysis
Sequencing depth analysis
Evaluation of coverage of autosomal chromosome (BAC or Fosmid sequence should be provided)
Evaluation of coverage of interested genes (EST or transcriptome data should be provided)
Genome map with GC skew and annotation
Gene family identification (animal: TreeFam; plant: OrthoMCL)
Phylogenetic analysis
Estimation of species divergence time
Genomic island prediction
Genome-wide synteny analysis
Segmental duplication analysis (animal: WGD; plant: WGAC)
ncRNA annotation
Gene function annotation
Gene prediction
Repeat annotation
