BioNanoAnalyst

BioNanoAnalyst assesses genome assembly integrity by integrating optical mapping data and restriction endonuclease cut-site analyses to identify misassemblies and support scaffold validation and structural variation assessment.


Key Features:

  • Misassembly identification: Identifies potential misassemblies in reference genome sequences by analyzing discordances between optical maps and the assembly using restriction endonuclease cut sites.
  • Optical mapping integration: Integrates optical mapping data to validate genome scaffolds and to support assessment of structural variation.
  • GFF3 format output: Produces GFF3 files describing questionable regions and assembly discrepancies for import into genome browsers.

Scientific Applications:

  • Reference genome quality assessment: Evaluates the correctness of reference genome assemblies by detecting assembly errors revealed by optical maps.
  • Genome scaffold refinement: Supports refinement and validation of genome scaffolds through comparison with optical mapping data.
  • Structural variation assessment: Aids detection and characterization of structural variation by reconciling optical maps with assembled sequences.
  • Downstream genomic analyses: Improves reliability of downstream analyses of gene content, evolutionary studies, and domestication research by identifying assembly issues.

Methodology:

Analyze optical map data together with restriction endonuclease cut-site information to detect discrepancies with assembled sequences and export identified regions in GFF3 format.

Topics

Details

Tool Type:
desktop application
Operating Systems:
Linux, Windows, Mac
Programming Languages:
Python
Added:
7/17/2018
Last Updated:
12/10/2018

Operations

Publications

Yuan Y, Bayer PE, Scheben A, Chan CK, Edwards D. BioNanoAnalyst: a visualisation tool to assess genome assembly quality using BioNano data. BMC Bioinformatics. 2017;18(1). doi:10.1186/s12859-017-1735-4. PMID:28666410. PMCID:PMC5493081.

PMID: 28666410
PMCID: PMC5493081
Funding: - Australian Research Council: LP130100925, LP140100537

Documentation