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Related Concept Videos

Phylogenetic Trees03:21

Phylogenetic Trees

Phylogenetic trees come in many forms. It matters in which sequence the organisms are arranged from the bottom to the top of the tree, but the branches can rotate at their nodes without altering the information. The lines connecting individual nodes can be straight, angled, or even curved.The length of the branches can depict time or the relative amount of change among organisms. For instance, the branch length might indicate the number of amino acid changes in the sequence that underlies the...
Phylogenetic Trees03:21

Phylogenetic Trees

Phylogenetic trees come in many forms. It matters in which sequence the organisms are arranged from the bottom to the top of the tree, but the branches can rotate at their nodes without altering the information. The lines connecting individual nodes can be straight, angled, or even curved.The length of the branches can depict time or the relative amount of change among organisms. For instance, the branch length might indicate the number of amino acid changes in the sequence that underlies the...
Microbial Phylogeny01:28

Microbial Phylogeny

Understanding the evolutionary relationships among microorganisms is fundamental to microbial ecology and taxonomy. Phylogenetic trees are essential tools for inferring these relationships, relying primarily on comparative analyses of molecular sequences such as DNA, RNA, or proteins. In microbial studies, these trees typically depict the evolutionary paths of diverse bacterial and archaeal species by mapping genetic differences accumulated over time.Phylogenetic trees are composed of tips,...
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...
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...
Phylogeny01:23

Phylogeny

Phylogeny is concerned with the evolutionary diversification of organisms or groups of organisms. A group of organisms with a name is called a taxon (singular). Taxa (plural) can span different levels of the evolutionary hierarchy. For instance, the group containing all birds is a taxon (comprising the class Aves), and the group of all species of daisies (the genus Bellis) is a taxon. Phylogenies can likewise include just one genus (i.e., depict species relationships) or span an entire...

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A Practical Guide to Phylogenetics for Nonexperts
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PhyloPattern: regular expressions to identify complex patterns in phylogenetic trees.

Philippe Gouret1, Julie D Thompson, Pierre Pontarotti

  • 1UMR 6632, Evolutionary Biology and Modeling, University of Provence, Marseille, France. philippe.gouret@univ-provence.fr

BMC Bioinformatics
|September 22, 2009
PubMed
Summary

PhyloPattern is a new software library that automates phylogenetic tree analysis for evolutionary biology. It simplifies complex tasks like node annotation and pattern matching, accelerating research in genome-scale studies.

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Area of Science:

  • Computational Biology
  • Evolutionary Biology
  • Bioinformatics

Background:

  • Genome-scale studies require automated analysis of numerous phylogenetic trees.
  • Recognizing complex architectures within trees is crucial for information extraction.

Purpose of the Study:

  • To introduce PhyloPattern, a novel software library for automating phylogenetic tree manipulations and analysis.
  • To facilitate high-throughput phylogenetic tree analysis for evolutionary biology research.

Main Methods:

  • PhyloPattern offers three core modules: node annotation, pattern matching, and tree comparison.
  • It enables immediate or deferred evaluation of node properties using predefined or user-defined annotation functions.
  • The library supports searching for user-defined patterns in large phylogenetic trees and pairwise tree comparison.

Main Results:

  • PhyloPattern automates essential tasks in high-throughput phylogenetic tree analysis.
  • It allows programmers to focus on specific analytical aspects rather than low-level manipulations.
  • The software facilitates dynamic pattern generation for tree comparison.

Conclusions:

  • PhyloPattern significantly simplifies and accelerates computational work in evolutionary biology.
  • The library has been successfully applied to identify phylogenetic evidence for domain shuffling and gene loss.
  • Any workflow involving phylogenetic tree analysis can be automated using PhyloPattern.