Evidence map›Paper›PMID 31406990›Full record

ArticleBioinformatics (Oxford, England)2020

Haplotype-aware graph indexes.

Jouni Sirén, Erik Garrison, Adam M Novak, Benedict Paten, Richard Durbin

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed
–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

60 citing papers in PubMed.

  1. A Run-Length-Compressed Skiplist Data Structure for Dynamic GBWTs Supports Time- and Space-Efficient Pangenome Operations over Syncmers.Journal of computational biology : a journal of computational molecular cell biology · 2026
    Article
  2. GBZ-base and GAF-base: Indexed pangenome file formats.bioRxiv : the preprint server for biology · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Panaln: indexing pangenome for read alignment.Bioinformatics (Oxford, England) · 2025
    Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. Haplotype Matching with GBWT for Pangenome Graphs.bioRxiv : the preprint server for biology · 2025
    Article
  13. Article
  14. Review
  15. Methods for Chromosome-Scale Haplotype Reconstruction.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  16. An Efficient Data Structure and Algorithm for Long-Match Query in Run-Length Compressed BWT.Algorithms in bioinformatics : ... International Workshop, WABI ..., proceedings. WABI (Workshop) · 2025
    Article
  17. Article
  18. Article
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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.

Jouni SirénUC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA 95064, USA.
Erik GarrisonWellcome Sanger Institute, Wellcome Genome Campus, Hinxton CB10 1SA, UK.
Adam M NovakUC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA 95064, USA.
Benedict PatenUC Santa Cruz Genomics Institute, University of California, Santa Cruz, CA 95064, USA.
Richard DurbinWellcome Sanger Institute, Wellcome Genome Campus, Hinxton CB10 1SA, UK.

Funding

GENCODE Resource ProjectU41HG007234 · NHGRI · SANGER INSTITUTE · PI FLICEK, PAUL · 2013 to 2020
$20.3M
Unbiased analysis of genomic correlates of gene expression in health and diseaseU01HL137183 · NHLBI · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI HAUSSLER, DAVID H · 2017 to 2019
$1.8M
NHGRI NIH HHS U41 HG007234NHLBI NIH HHS U01 HL137183Wellcome Trust 207492/Z/17/Z
6 · The paper itself

Abstract

motivationThe variation graph toolkit (VG) represents genetic variation as a graph. Although each path in the graph is a potential haplotype, most paths are non-biological, unlikely recombinations of true haplotypes.

resultsWe augment the VG model with haplotype information to identify which paths are more likely to exist in nature. For this purpose, we develop a scalable implementation of the graph extension of the positional Burrows-Wheeler transform. We demonstrate the scalability of the new implementation by building a whole-genome index of the 5008 haplotypes of the 1000 Genomes Project, and an index of all 108 070 Trans-Omics for Precision Medicine Freeze 5 chromosome 17 haplotypes. We also develop an algorithm for simplifying variation graphs for k-mer indexing without losing any k-mers in the haplotypes. AVAILABILITY AND IMPLEMENTATION: Our software is available at https://github.com/vgteam/vg, https://github.com/jltsiren/gbwt and https://github.com/jltsiren/gcsa2. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Indexed as

HaplotypesAlgorithmsGenomeSequence Analysis, DNASoftware

Identifiers

PMID31406990
PMCPMC7223266

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.