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Related Concept Videos

Karyotyping01:17

Karyotyping

Describing the number and physical features of chromosomes can reveal abnormalities that underlie genetic diseases. This description is facilitated by special staining techniques that produce a particular banding pattern on each chromosome. State-of-the-art techniques make this approach even more powerful, enabling the detection of individual genes that cause disease.A Simple Chromosome Staining Technique Provides Valuable Scientific InsightSome genetic diseases can be detected by looking at...
PCR01:32

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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...
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.
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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. 
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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.
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Related Experiment Video

Updated: Jun 18, 2026

Efficient Nucleic Acid Extraction and 16S rRNA Gene Sequencing for Bacterial Community Characterization
12:37

Efficient Nucleic Acid Extraction and 16S rRNA Gene Sequencing for Bacterial Community Characterization

Published on: April 14, 2016

A prime number approach to biological sequencing.

W Greer, A N Barrett, J M Sowden

    International Journal of Bio-Medical Computing
    |March 1, 1985
    PubMed
    Summary

    This study explores using prime numbers to speed up computational sequencing of nucleic acid and amino acid sequences. The prime number approach significantly increases program speed and offers some storage reduction.

    Area of Science:

    • Bioinformatics
    • Computational Biology
    • Computer Science

    Background:

    • Computational sequencing of nucleic acid and amino acid sequences is resource-intensive.
    • Increasing data volumes necessitate efficient computational methods.

    Purpose of the Study:

    • To investigate the utility of prime numbers in optimizing computational sequencing.
    • To enhance program speed and reduce storage requirements for sequence analysis.

    Main Methods:

    • Exploration of prime number applications in computational algorithms.
    • Implementation of prime number-based strategies for sequence data processing.

    Main Results:

    • Demonstrated significant increases in program execution speed.

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    Published on: April 14, 2016

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  • Observed a reduction in data storage requirements through the prime number approach.
  • Conclusions:

    • The prime number approach is an effective strategy for improving computational sequencing efficiency.
    • This method offers a viable solution for managing the growing demands of sequence data analysis.