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Related Concept Videos

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...
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.
Gene Evolution - Fast or Slow?02:05

Gene Evolution - Fast or Slow?

The genomes of eukaryotes are punctuated by long stretches of sequence which do not code for proteins or RNAs. Although some of these regions do contain crucial regulatory sequences, the vast majority of this DNA serves no known function. Typically, these regions of the genome are the ones in which the fastest change, in evolutionary terms, is observed, because there is typically little to no selection pressure acting on these regions to preserve their sequences.
In contrast, regions which code...
Gene Evolution - Fast or Slow?02:05

Gene Evolution - Fast or Slow?

The genomes of eukaryotes are punctuated by long stretches of sequence which do not code for proteins or RNAs. Although some of these regions do contain crucial regulatory sequences, the vast majority of this DNA serves no known function. Typically, these regions of the genome are the ones in which the fastest change, in evolutionary terms, is observed, because there is typically little to no selection pressure acting on these regions to preserve their sequences.
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Gene Duplication and Divergence02:37

Gene Duplication and Divergence

The seminal work of Ohno in 1970 popularized the idea of gene duplication and divergence. DNA sequence comparison studies reveal that a large portion of the genes in bacteria, archaebacteria, and eukaryotes was  generated by gene duplication and divergence, indicating its critical role in evolution.
The duplicated copies of the gene are called Paralogs. Paralogs with similar sequences and functions form a gene family. Across several species, a large number of gene families are characterized.
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,...

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Updated: May 19, 2026

A Practical Guide to Phylogenetics for Nonexperts
12:00

A Practical Guide to Phylogenetics for Nonexperts

Published on: February 5, 2014

FastJoin, an improved neighbor-joining algorithm.

J Wang1, M-Z Guo, L L Xing

  • 1School of Computer Science and Technology, Harbin Institute of Technology, Harbin, Heilongjiang, PR China. wangjuanangle@hit.edu.cn

Genetics and Molecular Research : GMR
|August 8, 2012
PubMed
Summary
This summary is machine-generated.

A new FastJoin algorithm improves phylogenetic tree reconstruction by modifying the neighbor-joining method. This enhanced approach offers significant speed-ups for analyzing large biological datasets, making evolutionary history analysis more efficient.

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Last Updated: May 19, 2026

A Practical Guide to Phylogenetics for Nonexperts
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Published on: February 5, 2014

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Area of Science:

  • Computational Biology
  • Evolutionary Biology
  • Bioinformatics

Background:

  • Phylogenetic tree reconstruction is fundamental to understanding species evolution.
  • The neighbor-joining algorithm is widely used for its balance of accuracy and speed.
  • Increasing data volumes necessitate faster and more precise phylogenetic methods.

Purpose of the Study:

  • To develop an improved neighbor-joining algorithm for enhanced phylogenetic tree reconstruction.
  • To address the need for faster and more accurate methods in the era of big data.

Main Methods:

  • Modified the neighbor-joining algorithm by merging two pairs of nodes iteratively.
  • Integrated optimizations from RapidNJ (upper bound computation) and ERapidNJ (external storage).
  • Developed a new method named FastJoin for phylogenetic tree reconstruction.

Main Results:

  • The improved algorithm correctly identifies true neighbors in phylogenetic analysis.
  • FastJoin constructs identical phylogenetic trees to the original neighbor-joining algorithm.
  • Empirical tests demonstrate a significant speed-up compared to classic neighbor-joining.

Conclusions:

  • The new FastJoin algorithm provides a substantial speed improvement over traditional neighbor-joining.
  • FastJoin is empirically shown to be superior to most existing neighbor-joining implementations.
  • This method enhances the efficiency of reconstructing evolutionary histories from large datasets.