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Alpha-CENTAURI: assessing novel centromeric repeat sequence variation with long read sequencing.

Volkan Sevim1, Ali Bashir2,3, Chen-Shan Chin1

  • 1Pacific Biosciences, Inc., Menlo Park, CA 94025, USA.

Bioinformatics (Oxford, England)
|May 7, 2016
PubMed
Summary
This summary is machine-generated.

Alpha-CENTAURI automates the characterization of tandem repeat sequence variation in centromeric regions using long-read sequencing data. This tool directly infers satellite higher-order repeat structures, overcoming limitations of traditional assembly methods for complex genomes.

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Area of Science:

  • Genomics
  • Bioinformatics
  • Molecular Biology

Background:

  • Complex genomes feature long arrays of tandem repeats in centromeric and subtelomeric regions.
  • Standard genomic tools often overlook the repeat structure diversity within these regions.
  • Long reads enable direct inference of satellite higher-order repeat structures, unlike shorter reads requiring indirect methods.

Purpose of the Study:

  • To automate the characterization of local centromeric tandem repeat sequence variation.
  • To leverage Pacific Biosciences long-reads for analyzing satellite repeat structures.
  • To provide a more comprehensive analysis of repeat-structure variants, unaffected by assembly-related issues.

Main Methods:

  • Designed Alpha-CENTAURI (ALPHA satellite CENTromeric Automated Repeat Identification) pipeline.
  • Utilized long-read whole-genome sequencing datasets.
  • Operated on reads prior to genome assembly.

Main Results:

  • Demonstrated Alpha-CENTAURI's utility in characterizing alpha satellite repeat structures in the CHM1 genome.
  • Pipeline reports local repeat organization, including rearrangements, orientation shifts, and transitions to non-satellite DNA.
  • Validated method against existing centromere high-order repeat references.

Conclusions:

  • Alpha-CENTAURI offers a method for detailed sequence repeat resolution.
  • The pipeline can be applied to any sequence data, facilitating analysis of genomes lacking high-quality reference assemblies.
  • Provides enhanced insights into repeat structure variants and genomic organization.