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G2-seq: A High Throughput Sequencing-based Technique for Identifying Late Replicating Regions of the Genome
Published on: March 22, 2018
Detecting long tandem duplications in genomic sequences.
Eric Audemard1, Thomas Schiex, Thomas Faraut
1Unité de Biométrie et Intelligence Artificielle, UR 875, INRA, Toulouse, France. Eric.Audemard@gmail.com
BMC Bioinformatics
|May 10, 2012
Summary
ReD Tandem software identifies large tandem duplications directly at the DNA level, complementing traditional methods. This tool aids in understanding genome evolution by detecting novel gene and non-coding element duplications.
Area of Science:
- Genomics
- Bioinformatics
- Evolutionary Biology
Background:
- Genome sequencing provides insights into genome evolution and the emergence of novel functions.
- Traditional gene duplication detection methods, focusing on protein comparisons, offer a limited perspective on evolutionary processes.
Purpose of the Study:
- Introduce ReD Tandem, a novel software for detecting tandem duplication arrays.
- Enable direct DNA-level detection of tandem duplications, including those with weak similarities.
Main Methods:
- Utilize a flow-based chaining algorithm for tandem duplication detection.
- Apply ReD Tandem to the *A. thaliana* genome using a reference set of tandem duplicated genes.
Main Results:
- ReD Tandem effectively predicts a significant fraction of recently duplicated genes (dS < 1).
- The software identifies tandem duplications involving non-coding elements like pseudogenes and RNA genes.
- ReD Tandem performs agnostic identification of tandem duplications without relying on gene annotations.
Conclusions:
- ReD Tandem complements protein-based methods by identifying duplications in non-coding regions.
- The software provides a more comprehensive view of evolutionary processes by recovering overlooked duplication events.
- ReD Tandem has the potential to improve existing genome annotations.
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