Whole Exome Sequencing (WES) Bioinformatic Analysis
With Ph.D. level scientists and extensive experience in high-throughput next-generation sequencing (NGS) technologies，Creative Biolabs is dedicated to serving every unique need of our clients in NGS related projects. Our scientists have developed an automated in-house toolkit for cancer whole exome sequencing (WES) bioinformatic analysis. We can rapidly and reliably provide clinically relevant information from the sequencing data.
The Background of WES Analysis
NGS technologies have paved the way for rapid sequencing efforts to analyze a wide number of samples. WES is the application of the NGS technology to determine the variations in the exome and is becoming a standard approach to study genetic variants in diseases. Recent explosive advances of NGS technology and bioinformatics analysis to massive data enable us to comprehensively analyze a number of variations in cancers by WES. WES of human samples has been reported to detect approximately 20,000–30,000 single nucleotide variants (SNV) and indel calls on average. Understanding the exomes of individuals at single-base resolution allows the identification of actionable mutations for cancer treatment and management. WES provides an unbiased approach to detect these variants in the era of personalized and precision medicine. WES technologies have shifted the bottleneck in experimental data production to computationally intensive informatics-based data analysis. Novel computational tools and methods have been developed to analyze and interpret WES data. It is very important to choose the best tool that suits the related study.
Cancer WES Bioinformatic Analysis at Creative Biolabs
Creative Biolabs has developed a powerful in-house toolkit for cancer WES bioinformatic analysis with highly accurate interpretation. The workflow of our general WES analysis is as follows:
-
Quality
control of
raw data -
Mapping
of the
clean data -
Production
of the
clean data -
Post-alignment processing
-
Quality control of the mapping reads
-
Variant calling, annotation and prioritization
Key Features and Advantages of Cancer WES Bioinformatics Analysis Include but Are Not Limited to:
- Highly accurate interpretation
- Rapid and comprehensive discovery
- Excellent sensitivity for detecting copy number variations (CNVs)
- Improved coverage of challenging genes
- Secured and long-term secure cloud storage
Equipped with world-leading technology platforms and professional scientific staff, Creative Biolabs has accumulated extensive experience in cancer WES and data analysis. Through our high-throughput and automated system, clients could accelerate their research with the most comprehensive information in a time-saving manner. We are pleased to use our extensive experience and advanced platform to offer the best service to satisfy each unique demand from our clients.
Please contact us for more information and a detailed quote.
Reference
- Hintzsche, J.D.; et al. A survey of computational tools to analyze and interpret whole exome sequencing data. Int J Genomics. 2016, 2016:7983236.
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