Evidence map›Paper›PMID 36969737›Full record

ArticleNatural computing2022

Computational graph pangenomics: a tutorial on data structures and their applications.

Jasmijn A Baaijens, Paola Bonizzoni, Christina Boucher, Gianluca Della Vedova, Yuri Pirola, Raffaella Rizzi, Jouni Sirén

Open access · hybridFull text read
In one paragraph

Article in Natural computing, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
5.3field-weighted citation impact, top 3% of its field
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

28 citing papers in PubMed, 65 citations in OpenAlex.

  1. Article
  2. Approaches to Studying Viral Pangenome Variation Graphs.Genomics, proteomics & bioinformatics · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Panaln: indexing pangenome for read alignment.Bioinformatics (Oxford, England) · 2025
    Article
  8. Article
  9. Article
  10. AlfaPang: alignment free algorithm for pangenome graph construction.Algorithms for molecular biology : AMB · 2025
    Article
  11. Generating multiple alignments on a pangenomic scale.Bioinformatics (Oxford, England) · 2025
    Article
  12. Haplotype Matching with GBWT for Pangenome Graphs.bioRxiv : the preprint server for biology · 2025
    Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Integer programming framework for pangenome-based genome inference.bioRxiv : the preprint server for biology · 2024
    Article
  18. Review
  19. Article
  20. Article
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

7 authors at 4 institutions in 3 countries.

Jasmijn A BaaijensDepartment of Intelligent Systems, Delft University of Technology, Van Mourik Broekmanweg 6, 2628XE Delft, The Netherlands.
Paola BonizzoniDepartment of Informatics, Systems and Communication (DISCo), University of Milano-Bicocca, V.le Sarca, 336, 20126 Milan, Italy.
Christina BoucherDepartment of Computer and Information Science and Engineering, University of Florida, 432 Newell Dr, Gainesville, FL 32603, USA.
Gianluca Della VedovaDepartment of Informatics, Systems and Communication (DISCo), University of Milano-Bicocca, V.le Sarca, 336, 20126 Milan, Italy.
Yuri PirolaDepartment of Informatics, Systems and Communication (DISCo), University of Milano-Bicocca, V.le Sarca, 336, 20126 Milan, Italy.
Raffaella RizziDepartment of Informatics, Systems and Communication (DISCo), University of Milano-Bicocca, V.le Sarca, 336, 20126 Milan, Italy.
Jouni SirénGenomics Institute, University of California, 1156 High St., Santa Cruz, CA 95064, USA.
University of Milano-Bicocca · ITDelft University of Technology · NLUniversity of California, Santa Cruz · USUniversity of Florida · US

Funding

Personal and panel references for improved alignmentR01HG011392 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI LANGMEAD, BENJAMIN THOMAS · 2020 to 2025
$4.2M
Developing Computational Methods for Surveillance of Antimicrobial Resistant AgentsR01AI141810 · NIAID · UNIVERSITY OF FLORIDA · PI BOUCHER, CHRISTINA, PROSPERI, MATTIA · 2019 to 2023
$2.1M
NHGRI NIH HHS R01 HG011392NIAID NIH HHS R01 AI141810
6 · The paper itself

Abstract

Computational pangenomics is an emerging research field that is changing the way computer scientists are facing challenges in biological sequence analysis. In past decades, contributions from combinatorics, stringology, graph theory and data structures were essential in the development of a plethora of software tools for the analysis of the human genome. These tools allowed computational biologists to approach ambitious projects at population scale, such as the 1000 Genomes Project. A major contribution of the 1000 Genomes Project is the characterization of a broad spectrum of genetic variations in the human genome, including the discovery of novel variations in the South Asian, African and European populations-thus enhancing the catalogue of variability within the reference genome. Currently, the need to take into account the high variability in population genomes as well as the specificity of an individual genome in a personalized approach to medicine is rapidly pushing the abandonment of the traditional paradigm of using a single reference genome. A graph-based representation of multiple genomes, or

Identifiers

PMID36969737
PMCPMC10038355
OpenAlexW4220680041

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read29
table measurements read3
reference markers read33
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.