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Related Concept Videos

Genome Annotation and Assembly03:36

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The genome refers to all of the genetic material in an organism. It can range from a few million base pairs in microbial cells to several billion base pairs in many eukaryotic organisms. Genome assembly refers to the process of taking the DNA sequencing data and putting it all back together in a correct order to create a close representation of the original genome. This is followed by the identification of functional elements on the newly assembled genome, a process called genome annotation.
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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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chainCleaner improves genome alignment specificity and sensitivity.

Hernando G Suarez1,2, Bjoern E Langer1,2, Pradnya Ladde1,2

  • 1Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany.

Bioinformatics (Oxford, England)
|January 22, 2017
PubMed
Summary
This summary is machine-generated.

chainCleaner enhances genome alignments by removing spurious local alignments that obscure evolutionary history. This method improves gene alignment and recovers significant genomic data, advancing comparative genomics.

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Area of Science:

  • Genomics
  • Bioinformatics
  • Evolutionary Biology

Background:

  • Accurate genome alignments are essential for comparative genomics.
  • Genomic rearrangements pose challenges to sensitive and accurate genome alignment.

Purpose of the Study:

  • To present chainCleaner, a fast computational approach to improve genome alignment specificity.
  • To accurately detect and remove local alignments that obscure evolutionary history.

Main Methods:

  • The chainCleaner algorithm was developed to refine genome alignments.
  • Systematic tests were performed on alignments between human and other vertebrate genomes.

Main Results:

  • chainCleaner improves the alignment of orthologous genes.
  • It unmasks gene exon alignments previously obscured by pseudogene alignments.
  • The method recovers substantial local alignments below standard score thresholds.

Conclusions:

  • chainCleaner enhances both the sensitivity and specificity of genome alignments.
  • This approach has broad applicability in comparative genomics research.
  • The tool is available for use and further development.