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BreakPoint Surveyor: a pipeline for structural variant visualization.

Matthew A Wyczalkowski1,2, Kristine M Wylie2,3, Song Cao1,2

  • 1Oncology Division, Department of Medicine.

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|June 6, 2017
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Summary
This summary is machine-generated.

BreakPoint Surveyor (BPS) is a new computational tool for identifying complex genomic rearrangements in DNA sequencing data. It aids in understanding structural variants by integrating multiple data types into a single visualization.

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Area of Science:

  • Genomics
  • Bioinformatics
  • Computational Biology

Background:

  • Complex genomic rearrangements, including viral integration, pose challenges in sequence data analysis.
  • Accurate characterization of structural variants is crucial for understanding genetic diseases and biological processes.

Purpose of the Study:

  • To introduce BreakPoint Surveyor (BPS), a novel computational pipeline.
  • To enable the discovery, characterization, and visualization of complex genomic rearrangements.
  • To facilitate the interpretation of structural variants in paired-end sequence data.

Main Methods:

  • BPS is a computational pipeline implemented in R, Python, and BASH scripts.
  • It analyzes paired-end sequence data to identify genomic rearrangements.
  • The pipeline integrates breakpoint predictions, gene structure, read depth, and RNA-seq expression.

Main Results:

  • BPS provides a comprehensive figure for interpreting structural variants.
  • It successfully visualizes complex genomic events like viral genome integration.
  • Facilitates the merging of diverse genomic and transcriptomic data.

Conclusions:

  • BreakPoint Surveyor (BPS) is an effective tool for analyzing complex genomic rearrangements.
  • It enhances the interpretation of structural variants through integrated visualization.
  • BPS supports research in areas such as viral integration and genetic disease.