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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...
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...
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...
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...
DNA as a Genetic Template02:05

DNA as a Genetic Template

Two structural features of the DNA molecule provide a basis for the mechanisms of heredity: the four nucleotide bases and its double-stranded nature. The Watson-Crick model of double-helical DNA structure, proposed in 1952, drew heavily upon the X-ray crystallography work of researchers Rosalind Franklin and Maurice Wilkins. Watson, Crick, and Wilkins jointly received the Nobel Prize in Physiology or Medicine for their work in 1962. Franklin was, controversially, excluded from the prize for...

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Related Experiment Video

Updated: May 12, 2026

Microbial Communities in Nature and Laboratory - Interview
29:13

Microbial Communities in Nature and Laboratory - Interview

Published on: May 28, 2007

The future of DNA sequence archiving.

Guy Cochrane1, Charles E Cook, Ewan Birney

  • 1EMBL-Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, CB10 1SD, United Kingdom. cochrane@ebi.ac.uk.

Gigascience
|April 17, 2013
PubMed
Summary
This summary is machine-generated.

The International Nucleotide Sequence Database Collaboration needs to manage increasing DNA sequence data. A new graded system will use experiment reproducibility and sample availability to determine data compression levels for archived sequences.

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Area of Science:

  • Bioinformatics
  • Genomics Data Archiving

Background:

  • Current archiving practices treat all DNA sequences equally.
  • Rapidly increasing global sequence production necessitates new data management strategies.

Purpose of the Study:

  • To propose a differentiated treatment system for archiving DNA sequences.
  • To address the challenges posed by the exponential growth of genomic data.

Main Methods:

  • Implementing a graded system for data compression.
  • Assessing the ease of experimental reproduction for sequencing data.
  • Evaluating the relative availability of biological samples for resequencing.

Main Results:

  • A proposed system to apply lossy compression based on data characteristics.
  • Potential for efficient management of large-scale genomic archives.

Conclusions:

  • The proposed graded system offers a scalable solution for archiving vast amounts of DNA sequence data.
  • Differentiated data treatment is crucial for the future sustainability of nucleotide sequence archives.