Evidence map›Paper›PMID 34521456›Full record

ArticleGenome biology2021

Pandora: nucleotide-resolution bacterial pan-genomics with reference graphs.

Rachel M Colquhoun, Michael B Hall, Leandro Lima, Leah W Roberts, Kerri M Malone, Martin Hunt, Brice Letcher, Jane Hawkey, Sophie George, Louise Pankhurst and 1 more

Abstract 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 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing 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

46 citing papers in PubMed.

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  19. CELEBRIMBOR: core and accessory genes from metagenomes.Bioinformatics (Oxford, England) · 2024
    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

11 authors.

Rachel M ColquhounEuropean Bioinformatics Institute, Hinxton, Cambridge, CB10 1SD, UK.
Michael B HallEuropean Bioinformatics Institute, Hinxton, Cambridge, CB10 1SD, UK.
Leandro LimaEuropean Bioinformatics Institute, Hinxton, Cambridge, CB10 1SD, UK.
Leah W RobertsEuropean Bioinformatics Institute, Hinxton, Cambridge, CB10 1SD, UK.
Kerri M MaloneEuropean Bioinformatics Institute, Hinxton, Cambridge, CB10 1SD, UK.
Martin HuntEuropean Bioinformatics Institute, Hinxton, Cambridge, CB10 1SD, UK.
Brice LetcherEuropean Bioinformatics Institute, Hinxton, Cambridge, CB10 1SD, UK.
Jane HawkeyDepartment of Infectious Diseases, Central Clinical School, Monash University, Melbourne, Victoria, 3004, Australia.
Sophie GeorgeNuffield Department of Medicine, University of Oxford, Oxford, UK.
Louise PankhurstNuffield Department of Medicine, University of Oxford, Oxford, UK.
Zamin IqbalEuropean Bioinformatics Institute, Hinxton, Cambridge, CB10 1SD, UK. zi@ebi.ac.uk.ORCID 0000-0001-8466-7547

Funding

Wellcome TrustWellcome Trust 05279/Z/14/ZWellcome Trust 102541/Z/13/Z
6 · The paper itself

Abstract

We present pandora, a novel pan-genome graph structure and algorithms for identifying variants across the full bacterial pan-genome. As much bacterial adaptability hinges on the accessory genome, methods which analyze SNPs in just the core genome have unsatisfactory limitations. Pandora approximates a sequenced genome as a recombinant of references, detects novel variation and pan-genotypes multiple samples. Using a reference graph of 578 Escherichia coli genomes, we compare 20 diverse isolates. Pandora recovers more rare SNPs than single-reference-based tools, is significantly better than picking the closest RefSeq reference, and provides a stable framework for analyzing diverse samples without reference bias.

Indexed as

Genome, BacterialSoftwareAlgorithmsEscherichia coliGenetic VariationGenomicsHigh-Throughput Nucleotide SequencingNanopore SequencingNucleotidesSequence AlignmentSequence Analysis, DNANucleotidesAccessory genomeGenome graphNanoporePan-genome

Identifiers

PMID34521456
PMCPMC8442373

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.