Target Region Sequencing (TRS) focuses on a subset of genes or specific regions of the genome, which are most likely to be associated with a disease or phenotype-related studies. It is used for analyzing mutations in a given sample. Compared to Whole Genome Sequencing and Whole Exome Sequencing, target region sequencing generates more comprehensive and manageable data and is more cost-effective in investigating regions of interest, achieving delivery of much higher coverage and identification of rare variants.
Novogene’s target region sequencing provides comprehensive services including customized panel design, library preparation, sequencing, and bioinformatics analyses based on your research purpose.
Note: For detailed information, please refer to the Service Specifications and contact us for customized requests.
The Spectrum of mitochondrial genomic variation in parathyroid neoplasms
Endocrine Date: July 2021IF: 21.674DOI: 10.1007/s12020-021-02825-8
Genomic sequencing identifies WNK2 as a driver inhepatocellular carcinoma and a risk factor for early recurrence
Journal of HepatologyIDecember Date: 2019IF: 20.582DOI: http://dx.doi.org/10.1016/j.jhep.2019.07.014
Genetic Alterations in Esophageal Tissues From Squamous Dysplasia to Carcinoma
Gastroenterology Date: July 2017IF: 18.392DOI: 10.1053/j.gastro.2017.03.033
The sequencing error rate is the major confounding factor of precise detection of low-frequency variations by deep sequencing. It determines the quality of the sequencing data. The sequencing error rate is highly associated with the sequencing cycle, escalating towards the end of each read because of the consumption of chemical reagents, which is a common feature of the Illumina high throughput sequencing platform.
The x-axis represents the position in reads, and the y-axis indicates the average error rate of bases of all reads at a position.
GC content distribution aims to check the potential of AT/GC separation. Sample contamination, sequencing bias, and errors during library preparation can impact on the sequencing results.
The x-axis represents the position in reads, and the y-axis indicates the percentage of each type of bases (A, T, G, C); different bases can be distinguished by different colors.
Single nucleotide polymorphisms (SNPs), also known as single nucleotide variants (SNVs), constitute the largest class of genetic variants in the genome. Another class of genetic variations includes small insertions and deletions (InDels) which are <50 bp in length.
The number of SNPs/InDels in various genomic regions
The number of different types of SNPs/InDels in coding region
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