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Related Concept Videos

Next-generation Sequencing03:00

Next-generation Sequencing

The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features.
Sanger Sequencing01:57

Sanger Sequencing

DNA sequencing is a fundamental technique that is routinely used in the biological sciences. This method can be applied to a range of questions at different scales - from the sequencing of a cloned DNA fragment or the study of a mutation in a gene up to whole-genome sequencing. However, despite the widespread use of sequencing today, it was not until 1977 that Fredrick Sanger and his collaborators developed the chain-termination method to decode DNA sequences. It relies on the separation of a...
RNA-seq03:21

RNA-seq

RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while microarray-based...
Maxam-Gilbert Sequencing01:05

Maxam-Gilbert Sequencing

In the same year as the discovery of the Sanger sequencing method, another group of scientists, Allan Maxam and Walter Gilbert, demonstrated their chemical-cleavage method for DNA sequencing. The Maxam-Gilbert method relies on using different chemicals that can cleave the DNA sequence at specific sites, the separation of resulting DNA fragments of variable size using electrophoresis, and deciphering the DNA sequence from the resulting gel bands.
Challenges of the Maxam-Gilbert Method
The...

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Related Experiment Video

Updated: May 24, 2026

Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies
13:24

Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies

Published on: April 11, 2016

Next-generation sequencing: ready for the clinics?

A N Desai1, A Jere

  • 1Persistent LABS, Persistent Systems Ltd., Erandwane, Pune. aarti_desai@persistent.co.in

Clinical Genetics
|March 2, 2012
PubMed
Summary
This summary is machine-generated.

Next-generation sequencing (NGS) offers powerful diagnostic and therapeutic applications in genomics. Further development of user-friendly data analysis and clinical integration is crucial for widespread adoption.

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Related Experiment Videos

Last Updated: May 24, 2026

Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies
13:24

Integration of Wet and Dry Bench Processes Optimizes Targeted Next-generation Sequencing of Low-quality and Low-quantity Tumor Biopsies

Published on: April 11, 2016

Next Generation Sequencing for the Detection of Actionable Mutations in Solid and Liquid Tumors
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Next Generation Sequencing for the Detection of Actionable Mutations in Solid and Liquid Tumors

Published on: September 20, 2016

Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease
09:34

Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease

Published on: April 4, 2018

Area of Science:

  • Genomics
  • Clinical Diagnostics
  • Bioinformatics

Background:

  • Next-generation sequencing (NGS) has revolutionized genomic research with reduced costs and increased throughput.
  • The focus is shifting towards applying NGS for clinical diagnostics and therapeutics.

Purpose of the Study:

  • To review the clinical applications of NGS technologies.
  • To assess the potential of current NGS systems for clinical transition.

Main Methods:

  • Review of current NGS technologies and their capabilities.
  • Discussion of requirements for clinical implementation.

Main Results:

  • NGS enables identification of causative mutations, pathogen screening, and cancer diagnosis with targeted therapy.
  • Recent NGS systems show promise with smaller instruments, flexible throughput, and shorter run times.
  • Challenges remain in accuracy, assay simplicity, cost, and data analysis/interpretation.

Conclusions:

  • Simplified data analysis tools are needed to reduce reliance on bioinformatics support.
  • Successful clinical transition of NGS requires collaboration between research, clinical practice, and vendors.