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High-Throughput Analysis of Optical Mapping Data Using ElectroMap
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OMTools: a software package for visualizing and processing optical mapping data.

Alden King-Yung Leung1,2, Nana Jin1,2, Kevin Y Yip3

  • 1School of Life Sciences.

Bioinformatics (Oxford, England)
|May 16, 2017
PubMed
Summary
This summary is machine-generated.

OMTools offers an efficient solution for analyzing optical mapping data, addressing limitations in current software. This new suite provides accessible tools for processing, visualizing, and simulating large-scale DNA profiles.

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Area of Science:

  • Genomics
  • Bioinformatics

Background:

  • Optical mapping is a molecular technique for analyzing DNA.
  • Existing computational tools for optical mapping data have limitations.

Purpose of the Study:

  • To present OMTools, a novel suite for processing and visualizing optical mapping data.
  • To provide an efficient and intuitive platform for handling large-scale optical mapping profiles.

Main Methods:

  • OMTools includes modules for data visualization (OMView), processing, and simulation.
  • The suite is implemented in Java 1.8 and released under a GPL license.

Main Results:

  • OMTools offers an efficient and intuitive pipeline for optical mapping analyses.
  • The software addresses shortcomings of existing tools for optical map data processing and visualization.

Conclusions:

  • OMTools provides an accessible and convenient pipeline for various optical mapping applications.
  • The suite facilitates assisted-scaffolding in sequence assemblies, microbial strain typing, and structural variation detection.