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Signal-based optical map alignment.

Mehmet Akdel1, Henri van de Geest2, Elio Schijlen2

  • 1Bioinformatics Group, Wageningen University, Wageningen, The Netherlands.

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|September 30, 2021
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Summary
This summary is machine-generated.

New open-source software tools, OptiScan and OptiMap, improve genome assembly and structural variation detection using optical mapping data. These tools enhance data utilization for more accurate genomic analysis.

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Area of Science:

  • Genomics
  • Bioinformatics
  • Molecular Biology

Background:

  • Optical mapping technology offers long-range contiguity for genome assembly and structural variation detection.
  • Current Bionano Genomics software has limitations in processing raw optical mapping data, labeling many signals as unusable.

Purpose of the Study:

  • To introduce OptiScan and OptiMap, independent open-source software tools for processing and analyzing high-throughput optical mapping data.
  • To demonstrate improved genome assembly and increased data utilization compared to existing methods.

Main Methods:

  • Development of OptiScan for extracting and processing molecules from raw optical mapping images.
  • Implementation of OptiMap for signal-based molecule-to-molecule and molecule-to-reference alignments.
  • Validation of OptiTools using Bionano Genomics optical mapping data.

Main Results:

  • OptiScan-detected molecules enable superior genome assemblies.
  • OptiMap significantly increases the usability of raw optical mapping data.
  • The developed tools provide a foundation for open-source optical mapping data analysis.

Conclusions:

  • OptiScan and OptiMap offer effective alternatives for processing optical mapping data.
  • These open-source tools enhance the utility and accuracy of genomic analyses.
  • The availability of OptiTools promotes further advancements in genomics research.