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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...
Genomics02:02

Genomics

Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
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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Updated: Jun 28, 2026

G2-seq: A High Throughput Sequencing-based Technique for Identifying Late Replicating Regions of the Genome
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G2-seq: A High Throughput Sequencing-based Technique for Identifying Late Replicating Regions of the Genome

Published on: March 22, 2018

e-Science: relieving bottlenecks in large-scale genome analyses.

Tracy Craddock1, Colin R Harwood, Jennifer Hallinan

  • 1Tracy Craddock, Jennifer Hallinan and Anil Wipat are at the School of Computing Science, Claremont Tower, Newcastle University, Newcastle upon Tyne, NE1 7RU, UK.

Nature Reviews. Microbiology
|November 15, 2008
PubMed
Summary
This summary is machine-generated.

Affordable sequencing generates vast bacterial genome data. Grid-based e-Science technologies offer new computational approaches to analyze this genomic data for biological insights.

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Area of Science:

  • Microbiology
  • Bioinformatics
  • Computational Biology

Background:

  • Advancements in high-throughput sequencing have resulted in a large volume of publicly accessible bacterial genome data.
  • Analyzing this extensive genomic data presents significant challenges for microbiologists.
  • Existing computational methods may be insufficient for extracting meaningful biological knowledge from the data deluge.

Purpose of the Study:

  • To explore the utility of emerging computational approaches for analyzing large-scale bacterial genomic data.
  • To address the challenges posed by the increasing availability of bacterial genome sequences.
  • To investigate the potential of e-Science and Grid-based technologies in microbiological research.

Main Methods:

  • Review of current trends in high-throughput sequencing and data generation.
  • Exploration of computational strategies for genomic data analysis.
  • Assessment of Grid-based technologies and e-Science frameworks for large-scale data processing.

Main Results:

  • The rapid increase in bacterial genome data necessitates advanced analytical tools.
  • New computational approaches are crucial for extracting biological knowledge from genomic datasets.
  • Grid-based technologies within the e-Science domain show promise for addressing these analytical challenges.

Conclusions:

  • The integration of e-Science and Grid computing offers a viable solution for managing and analyzing the growing volume of bacterial genomic data.
  • Developing and implementing novel computational strategies is essential for future microbiological discoveries.
  • Harnessing these technologies will enable researchers to better address specific biological problems using genomic information.