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.