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Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control
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An algorithm for automated closure during assembly.

Sergey Koren1, Jason R Miller, Brian P Walenz

  • 1The J. Craig Venter Institute, 9712 Medical Center Drive, Rockville MD 20850, USA. skoren@jcvi.org

BMC Bioinformatics
|September 14, 2010
PubMed
Summary
This summary is machine-generated.

A new bounding read algorithm improves genome sequence finishing by accurately assembling repeat regions. This automated method enhances draft genome quality for small genomes, aiding in complete sequence generation.

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Area of Science:

  • Genomics
  • Bioinformatics
  • Computational Biology

Background:

  • Genome finishing refines draft sequences from shotgun sequencing and assembly.
  • Automated finishing methods, including local re-assembly, aim to improve sequence quality.
  • Manual and automated approaches exist for incorporating finishing reads.

Purpose of the Study:

  • To develop and implement an automated algorithm for genome sequence finishing.
  • To specifically target and improve the assembly of repeat regions during finishing.
  • To evaluate the effectiveness of the new algorithm compared to existing methods.

Main Methods:

  • Developed the bounding read algorithm for assembling shotgun and finishing reads.
  • Integrated the algorithm into the Celera Assembler and its pyrosequencing variant, CABOG.
  • Tested the algorithm on Sanger and pyrosequencing data from six diverse genomes.

Main Results:

  • The bounding read algorithm successfully assembled repeat regions, closing and tiling gaps.
  • Assemblies generated by the bounding read algorithm showed improvements in repeat region handling.
  • No degradation of assemblies was observed when using the bounding read algorithm.

Conclusions:

  • The bounding read algorithm is effective for automated finishing of small genomes.
  • The implementation is available as open-source software, promoting wider adoption.
  • This method contributes to the advancement of automated genome assembly and finishing.