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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...
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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,...
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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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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 kingdom.
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.

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A Practical Guide to Phylogenetics for Nonexperts
12:00

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Published on: February 5, 2014

Fast and robust multiple sequence alignment with phylogeny-aware gap placement.

Adam M Szalkowski1

  • 1Department of Computer Science, ETH Zürich, Universitätstrasse, Switzerland. adam.szalkowski@inf.ethz.ch

BMC Bioinformatics
|June 15, 2012
PubMed
Summary
This summary is machine-generated.

ProGraphMSA, a novel multiple sequence alignment tool, generates accurate alignments by integrating graph-based representations and phylogeny-aware gap placement. It demonstrates robust performance and efficiency in benchmark tests.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • ProGraphMSA is an advanced multiple sequence alignment (MSA) tool.
  • It generates phylogenetically sound gap patterns.
  • It accommodates alternative splicing and guide tree errors.

Purpose of the Study:

  • To introduce ProGraphMSA, a novel MSA tool.
  • To enhance alignment accuracy and robustness.
  • To provide efficient computational performance.

Main Methods:

  • Incorporates a graph-based sequence representation.
  • Utilizes the phylogeny-aware gap placement algorithm from Prank.
  • Accounts for substitution pattern variations using context-specific profiles (similar to CS-Blast).
  • Estimates amino acid frequencies from input data.

Main Results:

  • ProGraphMSA achieves robust performance in benchmark tests.
  • It demonstrates competitive execution times.
  • The tool produces phylogenetically sensible gap patterns.

Conclusions:

  • ProGraphMSA offers a significant advancement in multiple sequence alignment.
  • The tool balances accuracy with computational efficiency.
  • It is suitable for various bioinformatics applications requiring accurate MSA.