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The enrichment assay is fully customizable to the user’s requirements. The simple one-day protocol can generate sequence-ready libraries with as little as 10 ng DNA or total RNA from a broad range of samples.
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The approach can be used for a range of NGS-based analyses including identification of gene fusion events in RNA samples, targeted gene expression analysis, variant detection, and CNV analysis in DNA samples. The data generated by NGS can be used to elucidate the mechanism that causes a disease, for clinical diagnosis, for therapeutic choice, and for prognosis. The topics covered in-depth during this course are. Targeted resequencing of both DNA and RNA allows researchers to focus on genes of interest to cost-effectively interrogate genetic variations in their samples such as SNVs, CNVs, and gene fusions.ĭuring this webinar we will describe and present data from a novel and flexible NGS target enrichment method that utilizes Single Primer Enrichment Technology (SPET). This course is aimed at bench biologists who are interested in learning about NGS-based genomic analysis. Next generation sequencing (NGS) data is extremely high throughput, allowing for exponentially higher amounts of data to be generated than the traditional. Next-Generation Sequencing Data Analysis shows how next-generation sequencing (NGS) technologies are applied to transform nearly all aspects of biological. Next-generation sequencing (NGS) is a technology for determining the sequence of DNA or RNA to study genetic variation associated with diseases or other. Next I plan to explore, in depth, what goes into the analysis of sequence data and why both the cost and complexity of the bioinformatics should not be ignored. A Practical Guide to the Highly Dynamic Area of Massively Parallel Sequencing The book walks readers through the multiple stages of NGS data generation and.