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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.
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
Multi-species Conserved Sequences02:51

Multi-species Conserved Sequences

Next-generation sequencing technologies have created large genomic databases of a variety of animals and plants. Ever since the human genome project was completed, scientists studied the genome of primates, mammals, and other phylogenetically distant living beings. Such large-scale  studies have provided new insights into the evolutionary relationship between organisms.
Although the genome of each species varies greatly from each other, a few sequences are highly conserved. Such conserved DNA...
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...
Genome Annotation and Assembly03:36

Genome Annotation and Assembly

The genome refers to all of the genetic material in an organism. It can range from a few million base pairs in microbial cells to several billion base pairs in many eukaryotic organisms. Genome assembly refers to the process of taking the DNA sequencing data and putting it all back together in a correct order to create a close representation of the original genome. This is followed by the identification of functional elements on the newly assembled genome, a process called genome annotation.
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: Jun 6, 2026

Metagenomic Analysis of Silage
08:43

Metagenomic Analysis of Silage

Published on: January 13, 2017

Statistical Analyses of Next Generation Sequence Data: A Partial Overview.

Susmita Datta1, Somnath Datta, Seongho Kim

  • 1Department of Bioinformatics and Biostatistics, University of Louisville, Louisville, KY 40202, USA.

Journal of Proteomics & Bioinformatics
|November 30, 2010
PubMed
Summary
This summary is machine-generated.

Next generation sequencing (NGS) offers high-resolution DNA data for genomics. This review covers NGS platforms and statistical methods for analyzing this powerful biological research tool.

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Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease
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Collection and Extraction of Saliva DNA for Next Generation Sequencing
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Collection and Extraction of Saliva DNA for Next Generation Sequencing

Published on: August 27, 2014

Related Experiment Videos

Last Updated: Jun 6, 2026

Metagenomic Analysis of Silage
08:43

Metagenomic Analysis of Silage

Published on: January 13, 2017

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

Collection and Extraction of Saliva DNA for Next Generation Sequencing
06:58

Collection and Extraction of Saliva DNA for Next Generation Sequencing

Published on: August 27, 2014

Area of Science:

  • Genomics
  • Bioinformatics
  • Molecular Biology

Background:

  • The Sanger method was the traditional DNA sequencing standard.
  • Next generation sequencing (NGS) emerged in 2005, enabling massively parallel, high-resolution DNA data generation.

Purpose of the Study:

  • To provide an overview of next generation sequencing (NGS) platforms.
  • To discuss statistical method developments for analyzing NGS data.
  • To highlight challenges and advances in NGS data analysis for clinical applications.

Main Methods:

  • Review of current next generation sequencing (NGS) platforms.
  • Discussion of statistical methodologies for handling novel NGS data types.

Main Results:

  • NGS is recognized for diverse genomic applications like SNP detection, methylation profiling, and mRNA expression analysis.
  • New technologies present analytical challenges requiring advanced statistical approaches.

Conclusions:

  • Understanding NGS advances and limitations is crucial for researchers.
  • Benchmarking analytical tools and proper application in clinical diagnostics are facilitated by this knowledge.