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Related Concept Videos

DNA Isolation01:24

DNA Isolation

DNA isolation protocols can be fast and straightforward or complex and time-consuming depending on the type and quality of DNA required for further processing. For example, plasmid DNA extraction is a bit more complicated than genomic DNA extraction because of the need for an appropriate lysis method to separate plasmid DNA from gDNA during isolation. However, for specific applications, such as long-range DNA sequencing that require a good yield of high- quality DNA samples, we need to follow...
DNA Isolation01:34

DNA Isolation

DNA from cells is required for many biotechnology and research applications, such as molecular cloning. To remove and purify DNA from cells, researchers use various methods of DNA extraction. While the specifics of different protocols may vary, some general concepts underlie the process of DNA extraction.
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...
Southern Blot02:57

Southern Blot

Agarose gel electrophoresis is very useful in separating DNA fragments by size. Running a DNA ladder containing fragments of the known length alongside the sample helps determine the approximate length of the sample DNA fragments. However, additional steps are needed to verify the sequence identity of the sample DNA fragments.
Denatured DNA fragments must be transferred onto a carrier membrane from the gel to make it accessible to a probe - a small ssDNA fragment complementary to the target DNA...
Restriction Enzymes01:11

Restriction Enzymes

Restriction enzymes are bacterial enzymes used to cut DNA in a sequence-specific manner. To cleave DNA, they bind to specific palindromic sequences called restriction sites. Such palindromic DNA sequences or inverted repeats are commonly found in regions of functional significance, such as the origin of replication, gene operator sites, and regions containing transcription termination signals.
The host bacteria protect their own genomic DNA from these enzymes by methylating these sites. Some...
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 26, 2026

Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER
14:06

Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER

Published on: June 23, 2012

Separating significant matches from spurious matches in DNA sequences.

Hugo Devillers1, Sophie Schbath

  • 1INRA, UR1077, Mathématique, Informatique, et Génome, Jouy-en-Josas, France. hugo.devillers@jouy.inra.fr

Journal of Computational Biology : a Journal of Computational Molecular Cell Biology
|December 14, 2011
PubMed
Summary

This study introduces a statistical method using geometric distribution mixture models to accurately identify significant genomic sequence matches. This approach helps distinguish true homologies from chance matches, improving genomic analysis.

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Novel Sequence Discovery by Subtractive Genomics
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Novel Sequence Discovery by Subtractive Genomics

Published on: January 25, 2019

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Last Updated: May 26, 2026

Detection of Rare Genomic Variants from Pooled Sequencing Using SPLINTER
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Published on: June 23, 2012

Novel Sequence Discovery by Subtractive Genomics
09:40

Novel Sequence Discovery by Subtractive Genomics

Published on: January 25, 2019

Area of Science:

  • Genomics
  • Bioinformatics
  • Computational Biology

Background:

  • Word matches are crucial for genomic sequence comparison and alignment.
  • Spurious matches (SMs) can arise by chance, complicating sequence analysis.
  • Current methods for setting minimal match length (ℓ) are often empirical and lack statistical rigor.

Purpose of the Study:

  • To develop a robust statistical approach for characterizing the distribution of match lengths in genomic sequence comparisons.
  • To provide a data-driven method for distinguishing significant matches from spurious matches (SMs).

Main Methods:

  • Utilized a mixture model of geometric distributions.
  • Analyzed the distribution of match lengths derived from comparing two genomic sequences.
  • Proposed a statistical framework to overcome empirical limitations in setting minimal match length (ℓ).

Main Results:

  • The proposed statistical approach offers a more rigorous method for analyzing genomic match lengths.
  • A mixture model of geometric distributions effectively characterizes the distribution of match lengths.
  • This method aims to improve the accuracy of genomic sequence comparison by better identifying significant matches.

Conclusions:

  • The statistical approach provides a robust alternative to empirical methods for determining match length thresholds.
  • Accurate identification of significant genomic matches is essential for reliable genome alignment and analysis.
  • This work contributes to advancing alignment-free and alignment-based genomic comparison techniques.