Evidence map›Paper›PMID 35552372›Full record

ArticleBioinformatics (Oxford, England)2022

ODGI: understanding pangenome graphs.

Andrea Guarracino, Simon Heumos, Sven Nahnsen, Pjotr Prins, Erik Garrison

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 115 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
115citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

115 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  7. Review
  8. Article
  9. Article
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  12. Navigating the pangenome coordinate system with Shredtools.bioRxiv : the preprint server for biology · 2026
    Article
  13. Article
  14. Review
  15. Article
  16. Approaches to Studying Viral Pangenome Variation Graphs.Genomics, proteomics & bioinformatics · 2026
    Review
  17. Article
  18. Article
  19. Article
  20. Article

55 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Andrea GuarracinoGenomics Research Centre, Human Technopole, Milan 20157, Italy.ORCID 0000-0001-9744-131X
Simon HeumosQuantitative Biology Center (QBiC), University of Tübingen, Tübingen 72076, Germany.ORCID 0000-0003-3326-817X
Sven NahnsenQuantitative Biology Center (QBiC), University of Tübingen, Tübingen 72076, Germany.ORCID 0000-0002-4375-0691
Pjotr PrinsDepartment of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN 38163, USA.
Erik GarrisonDepartment of Genetics, Genomics and Informatics, University of Tennessee Health Science Center, Memphis, TN 38163, USA.ORCID 0000-0003-3821-631X

Funding

A Unified High Performance Web Service for Systems Genetics and Precision MedicineR01GM123489 · NIGMS · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · PI PRINS, PJOTR, SEN, SAUNAK · 2017 to 2024
$3.7M
System genetics of menthol and nicotine addictionU01DA047638 · NIDA · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · PI CHEN, HAO, WILLIAMS, ROBERT W. · 2019 to 2023
$3.1M
BMBFFederal Ministry for Economic Affairs and Energy of GermanyGerman Network for Bioinformatics Infrastructure 031A537BNIDA NIH HHS U01 DA047638NIGMS NIH HHS R01 GM123489NSF PPoSS #2118709
6 · The paper itself

Abstract

motivationPangenome graphs provide a complete representation of the mutual alignment of collections of genomes. These models offer the opportunity to study the entire genomic diversity of a population, including structurally complex regions. Nevertheless, analyzing hundreds of gigabase-scale genomes using pangenome graphs is difficult as it is not well-supported by existing tools. Hence, fast and versatile software is required to ask advanced questions to such data in an efficient way.

resultsWe wrote Optimized Dynamic Genome/Graph Implementation (ODGI), a novel suite of tools that implements scalable algorithms and has an efficient in-memory representation of DNA pangenome graphs in the form of variation graphs. ODGI supports pre-built graphs in the Graphical Fragment Assembly format. ODGI includes tools for detecting complex regions, extracting pangenomic loci, removing artifacts, exploratory analysis, manipulation, validation and visualization. Its fast parallel execution facilitates routine pangenomic tasks, as well as pipelines that can quickly answer complex biological questions of gigabase-scale pangenome graphs. AVAILABILITY AND IMPLEMENTATION: ODGI is published as free software under the MIT open source license. Source code can be downloaded from https://github.com/pangenome/odgi and documentation is available at https://odgi.readthedocs.io. ODGI can be installed via Bioconda https://bioconda.github.io/recipes/odgi/README.html or GNU Guix https://github.com/pangenome/odgi/blob/master/guix.scm. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

GenomeSoftwareAlgorithmsDocumentationGenomics

Identifiers

PMID35552372
PMCPMC9237687

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.