Evidence map›Paper›PMID 34488837›Full record

ArticleGenome biology2021

Gramtools enables multiscale variation analysis with genome graphs.

Brice Letcher, Martin Hunt, Zamin Iqbal

Open access · goldAbstract read
In one paragraph

Article in Genome biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

18 citing papers in PubMed, 35 citations in OpenAlex.

  1. Article
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  5. Article
  6. Review
  7. Article
  8. Integer programming framework for pangenome-based genome inference.bioRxiv : the preprint server for biology · 2024
    Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Drug resistance prediction forMicrobial genomics · 2023
    Article
  14. Microbial genomics · 2023
    Article
  15. Article
  16. The 2021 WHO catalogue ofThe Lancet. Microbe · 2022
    Article
  17. Article
  18. Population-scale genotyping of structural variation in the era of long-read sequencing.Computational and structural biotechnology journal · 2022
    Review
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

3 authors at 1 institution in 1 country.

Brice LetcherEMBL-EBI, Hinxton, UK. bletcher@ebi.ac.uk.
Martin HuntEMBL-EBI, Hinxton, UK.
Zamin IqbalEMBL-EBI, Hinxton, UK. zi@ebi.ac.uk.ORCID 0000-0001-8466-7547
European Bioinformatics Institute · GB

Funding

Medical Research CouncilWellcome Trust 200205Wellcome Trust 200205/Z/15/Z
6 · The paper itself

Abstract

Genome graphs allow very general representations of genetic variation; depending on the model and implementation, variation at different length-scales (single nucleotide polymorphisms (SNPs), structural variants) and on different sequence backgrounds can be incorporated with different levels of transparency. We implement a model which handles this multiscale variation and develop a JSON extension of VCF (jVCF) allowing for variant calls on multiple references, both implemented in our software gramtools. We find gramtools outperforms existing methods for genotyping SNPs overlapping large deletions in M. tuberculosis and is able to genotype on multiple alternate backgrounds in P. falciparum, revealing previously hidden recombination.

Indexed as

AlgorithmsGenetic VariationGenome, HumanAllelesAntigens, SurfaceComputer SimulationGenotyping TechniquesHaplotypesHumansMycobacterium tuberculosisPlasmodium falciparumPolymorphism, Single NucleotideReproducibility of ResultsSequence DeletionAntigens, SurfaceGenome graphMycobacterium tuberculosisPangenomePlasmodium falciparumVariant callingVCF

Identifiers

PMID34488837
PMCPMC8420074
OpenAlexW3197256624

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.