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Next-generation sequencing (NGS) is a cutting-edge method for sequencing DNA and RNA, as well as detecting genetic variations and mutations. This technology can rapidly analyse hundreds to thousands of genes or even entire genomes at once. The genetic changes identified by NGS are extensively used in diagnosing diseases, predicting outcomes, making treatment decisions, and monitoring patients.
NGS technologies enable the rapid and high-throughput sequencing of DNA and RNA, offering unprecedented insights into genomics, transcriptomics, and epigenetics. In biotechnology, NGS plays a crucial role in various applications:
- Genomic Research: Identifying genetic variations, mutations, and structural rearrangements associated with diseases or traits.
- Transcriptomics: Analysing gene expression patterns to understand biological processes and responses to stimuli.
- Drug Discovery: Identifying drug targets, understanding drug resistance mechanisms, and developing personalised medicine approaches.
- Metagenomics: Studying the genetic material from environmental samples to identify and characterise diverse microbial communities.
Sequencing Platforms | Data Analysis Softwares |
|---|---|
Widely used for various sequencing applications, offering high accuracy and throughput. | For mapping short reads to a reference genome. |
Thermo Fisher Scientific (Ion Torrent) Known for its speed and simplicity, suitable for targeted sequencing and rapid turnaround. | For manipulating and analyzing aligned sequencing data. |
Provides long-read sequencing, enabling the analysis of complex genomic regions and structural variations. | GATK (Genome Analysis Toolkit) For variant calling and analysis. |
For accurate, long-read, single-molecule real-time DNA sequencing. | R and Bioconductor For statistical analysis and visualization of NGS data. |
- High Throughput: Sequencing millions of DNA or RNA molecules simultaneously, allowing for large-scale studies.
- Cost-Effectiveness: Reduced sequencing costs compared to traditional Sanger sequencing, enabling more extensive research.
- Sensitivity: Detecting rare variants and low-abundance transcripts that might be missed by other methods.
- Comprehensive Data: Providing a comprehensive view of the genetic landscape, facilitating in-depth analysis and discovery.
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