GPM

GPM integrates physical, optical, and genetic maps with next-generation sequencing assemblies to connect, edit, order, orient, and merge sequences into annotation-ready pseudomolecules that improve genome assembly quality.


Key Features:

  • Integration of genomic signposts: Incorporates physical maps, optical maps, and genetic maps into draft assemblies to provide additional spatial and relational information for contigs and scaffolds.
  • Semi-automated assembly editing: Connects loaded datasets through logical relationships to group, merge, order, and orient sequences within draft assemblies.
  • Dataset linkage via logical relationships: Establishes explicit logical connections among sequence data and external mapping datasets to guide assembly refinement.
  • Manual curation support: Enables manual intervention and curation of assembly components to resolve conflicts and refine structure.
  • Production of annotation-ready pseudomolecules: Produces high-quality pseudomolecules suitable for downstream annotation and analysis.
  • Addressing NGS fragmentation: Mitigates fragmented and inaccurate assemblies produced by next-generation sequencing by integrating complementary mapping datasets.

Scientific Applications:

  • Gene annotation: Provides refined, contiguous assemblies that facilitate accurate structural and functional gene annotation.
  • Comparative genomics: Generates improved assemblies for reliable genome-to-genome comparisons and synteny analyses.
  • Evolutionary studies: Produces contiguous pseudomolecules that support analyses of genome evolution, structural variation, and phylogenomics.
  • Downstream assembly analyses: Supplies annotation-ready assemblies for downstream analyses such as variant calling, functional genomics, and repeat characterization.

Methodology:

Logical connection of datasets via inherent relationships combined with automated algorithms and manual interventions to group, merge, order, and orient sequences, producing refined pseudomolecules.

Topics

Details

License:
Other
Tool Type:
desktop application
Operating Systems:
Linux
Programming Languages:
JavaScript, Perl
Added:
10/31/2018
Last Updated:
1/13/2019

Operations

Publications

Zhang J, Kudrna D, Mu T, Li W, Copetti D, Yu Y, Goicoechea JL, Lei Y, Wing RA. Genome puzzle master (GPM): an integrated pipeline for building and editing pseudomolecules from fragmented sequences. Bioinformatics. 2016;32(20):3058-3064. doi:10.1093/bioinformatics/btw370. PMID:27318200. PMCID:PMC5048067.

Documentation

Links