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Related Concept Videos

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...
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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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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Single Nucleotide Polymorphisms-SNPs01:05

Single Nucleotide Polymorphisms-SNPs

A single nucleotide polymorphism or SNP is a single nucleotide variation at a specific genomic position in a large population. It is the most prevalent type of sequence variation found in the human genome. Point mutations that occur in more than 1% of the population qualify as SNPs. These are present once every 1000 nucleotides on an average in the human genome. Replacement of a purine with another purine (A/G) or a pyrimidine with another pyrimidine (C/T) is known as a transition. In contrast,...
Comparing Copy Number Variations and SNPs02:26

Comparing Copy Number Variations and SNPs

Sequencing of the human genome has opened up several best-kept secrets of the genome. Scientists have identified thousands of genome variations that exist within a population. These variations can be a single nucleotide or a larger chromosomal variation.
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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...

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Updated: Jun 23, 2026

DNA Sequence Recognition by DNA Primase Using High-Throughput Primase Profiling
08:04

DNA Sequence Recognition by DNA Primase Using High-Throughput Primase Profiling

Published on: October 8, 2019

DNA sequence polymorphism analysis using DnaSP.

Julio Rozas1

  • 1Departament de Genètica, Facultat de Biologia, Universitat de Barcelona, Barcelona, Spain.

Methods in Molecular Biology (Clifton, N.J.)
|April 21, 2009
PubMed
Summary
This summary is machine-generated.

Analyzing DNA sequence polymorphisms and single nucleotide polymorphisms (SNPs) reveals evolutionary forces. This study explains key analytical methods and the DnaSP software for comprehensive DNA polymorphism analysis.

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Area of Science:

  • Population genetics
  • Molecular evolution
  • Bioinformatics

Background:

  • DNA sequence polymorphisms, including single nucleotide polymorphisms (SNPs), are crucial for understanding population and species evolution.
  • Coalescent theory-based population-genetic methods are standard for analyzing DNA polymorphism data.

Purpose of the Study:

  • To explain essential analytical methods for interpreting DNA polymorphism data.
  • To describe the functionalities of the DnaSP software for DNA polymorphism analysis.

Main Methods:

  • Review of population-genetic methods based on coalescent theory.
  • Description of analytical approaches for DNA polymorphism data.
  • Demonstration of DnaSP software capabilities.

Main Results:

  • Key analytical methods for DNA polymorphism interpretation are presented.
  • The DnaSP software's user-friendly interface and multi-purpose functionalities for exhaustive analysis are highlighted.

Conclusions:

  • DnaSP software provides a comprehensive tool for DNA polymorphism analysis.
  • Understanding these methods aids in deciphering evolutionary processes from genetic data.