g-TRIS

g-TRIS implements a graph-based, genome-free alignment algorithm to identify and map vector genomic insertion sites in host genomes, including insertions embedded in low complexity and repetitive regions, and to retrieve sequences flanking virus-host DNA junctions for improved clonal quantification and tracking in gene therapy and viral infection studies.


Key Features:

  • Graph-based genome-free alignment: Uses a graph-based, genome-free alignment approach to assign and compare insertion-associated sequences without relying on a reference genome.
  • Insertion site identification and mapping: Identifies and maps vector genomic insertion sites within host genomes.
  • Low complexity and repetitive-region detection: Detects insertions embedded in low complexity or repetitive regions, addressing approximately 30% of insertions that occur in these challenging genomic areas.
  • Flanking sequence retrieval and mapping: Retrieves and maps sequences flanking virus-host DNA junctions to improve junction assignment and site localization.
  • Novel algorithmic framework: Implements a novel algorithmic framework to enhance the retrieval and mapping of virus-host junction sequences.
  • Improved clonal quantification and tracking: Yields improved clonal quantification and tracking accuracy in clinical reanalysis datasets.

Scientific Applications:

  • Gene therapy integration analysis: Mapping and monitoring of vector integration sites to track the evolution of genetically modified cells in vivo in gene therapy contexts.
  • Viral insertion studies: Identification of viral genomic insertion sites in studies involving virally infected patients.
  • Clonal tracking and quantification: Quantification and longitudinal tracking of clones based on insertion site profiles.
  • Analysis of repetitive genomic regions: Investigation of insertion events occurring within low complexity and repetitive regions of the genome.

Methodology:

Computational methods include a graph-based, genome-free alignment algorithm and an algorithmic framework for retrieval and mapping of sequences flanking virus-host DNA junctions.

Topics

Details

Tool Type:
command-line tool, workflow
Programming Languages:
C++
Added:
1/9/2020
Last Updated:
11/24/2024

Operations

Publications

Calabria A, Beretta S, Merelli I, Spinozzi G, Brasca S, Pirola Y, Benedicenti F, Tenderini E, Bonizzoni P, Milanesi L, Montini E. γ-TRIS: a graph-algorithm for comprehensive identification of vector genomic insertion sites. Bioinformatics. 2019;36(5):1622-1624. doi:10.1093/bioinformatics/btz747. PMID:31589304. PMCID:PMC7703754.

PMID: 31589304
PMCID: PMC7703754
Funding: - Telethon Foundation: TGT11D1, TGT16B01, TGT16B03 - ISCRA: HP10CEUWXF - Giovani Ricercatori: GR-2016-02363681