Skip to content
DraconiticResearch
Search Sources API
197,768 studies31 sourcesUpdated 55 min ago
PreprintCC BY 4.0Genome Research

The Vizitig pangenome and pantranscriptome explorer

Abstract

Vizitig is the first platform for real-time exploration and querying of DNA and RNA sequence de Bruijn graphs across many samples, unifying visualization, metadata, and flexible search. It constructs compacted colored de Bruijn graphs from raw sequencing reads and reference sequences, then provides an interactive web interface for graph exploration. It integrates raw and reference-based data, handles complex variation, and provides a human-readable feature-based (also referred to as metadata) query language with scalable graph loading. Its domain-specific query language supports composable searches combining sequences of arbitrary size, genomic features such as gene or exon identifiers, and experimental factors such as sample identifier or abundance thresholds. On-demand subgraph loading retrieves only regions of interest, enabling interactive ex- ploration of large datasets in the graphical user interface without loading the entire graph into memory. We demonstrate Vizitig’s capabilities through case studies in pantranscrip- tomics and pangenomics. In pantranscriptomics, we recover fusion transcript breakpoints on long and short reads. In pangenomics, we explore sequence variations across yeast, rice, nematode, and human pangenomes. Vizitig scales from small virus genomes to human-scale pangenomes (our largest experiment comprises up to 20 assembled human haplotypes, on a laptop). Vizitig enables fast, reproducible analysis in both pangenomics and pantranscriptomics while providing a deployable and user-friendly working environ- ment.

Related

  1. From plant pangenome assemblies to operational graph references
    Nunzio D'Agostino
    Frontiers in Plant SciencePeer-reviewedCC BY 4.0Full textMolecular biology & gene regulationCrossrefEurope PMC
  2. MineGraph facilitates plastid and mitochondrial graph pangenome analysis in plants
    Rakan Haib, Sariel Hübner
    Genome BiologyPeer-reviewedCC BY-NC-ND 4.0Molecular biology & gene regulationCrossref
  3. The Emirati pangenome featuring a diploid chromosome-level reference
    Michael Olbrich, Mira Mousa, Inken Wohlers +16
    Nature CommunicationsPeer-reviewedCC BY-NC-ND 4.0Full textMolecular biology & gene regulationCrossref
  4. A Run-Length-Compressed Skiplist Data Structure for Dynamic GBWTs Supports Time- and Space-Efficient Pangenome Operations over Syncmers.
    Richard Durbin
    Journal of computational biology : a journal of computational molecular cell biologyPeer-reviewedCC BYFull textMolecular biology & gene regulationEurope PMC
  5. Representation and detection of inversions in pangenome graphs
    Sandra Romain, Siegfried Dubois, Fabrice Legeai +1
    NAR Genomics and BioinformaticsPeer-reviewedCC BY 4.0Full textMolecular biology & gene regulationCrossref
BibTeX
@misc{degardins2026vizitig,
  title = {{The Vizitig pangenome and pantranscriptome explorer}},
  author = {Bastien Degardins and Charles Paperman and Camille Marchet},
  howpublished = {Genome Research},
  year = {2026},
  month = oct,
  doi = {10.1101/gr.281948.126},
  url = {https://hal.science/hal-05479686v1},
  note = {CC BY 4.0},
}
RIS
TY  - UNPB
TI  - The Vizitig pangenome and pantranscriptome explorer
AU  - Bastien Degardins
AU  - Charles Paperman
AU  - Camille Marchet
PY  - 2026
DA  - 2026/10/21
PB  - Genome Research
DO  - 10.1101/gr.281948.126
UR  - https://hal.science/hal-05479686v1
AB  - Vizitig is the first platform for real-time exploration and querying of DNA and RNA sequence de Bruijn graphs across many samples, unifying visualization, metadata, and flexible search. It constructs compacted colored de Bruijn graphs from raw sequencing reads and reference sequences, then provides an interactive web interface for graph exploration. It integrates raw and reference-based data, handles complex variation, and provides a human-readable feature-based (also referred to as metadata) query language with scalable graph loading. Its domain-specific query language supports composable searches combining sequences of arbitrary size, genomic features such as gene or exon identifiers, and experimental factors such as sample identifier or abundance thresholds. On-demand subgraph loading retrieves only regions of interest, enabling interactive ex- ploration of large datasets in the graphical user interface without loading the entire graph into memory. We demonstrate Vizitig’s capabilities through case studies in pantranscrip- tomics and pangenomics. In pantranscriptomics, we recover fusion transcript breakpoints on long and short reads. In pangenomics, we explore sequence variations across yeast, rice, nematode, and human pangenomes. Vizitig scales from small virus genomes to human-scale pangenomes (our largest experiment comprises up to 20 assembled human haplotypes, on a laptop). Vizitig enables fast, reproducible analysis in both pangenomics and pantranscriptomics while providing a deployable and user-friendly working environ- ment.
SN  - 1088-9051
SN  - 1549-5469
ER  -