Evidence map›Paper›PMID 23014632›Full record

ArticleBioinformatics (Oxford, England)2012

SpolPred: rapid and accurate prediction of Mycobacterium tuberculosis spoligotypes from short genomic sequences.

Francesc Coll, Kim Mallard, Mark D Preston, Stephen Bentley, Julian Parkhill, Ruth McNerney, Nigel Martin, Taane G Clark

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

59 citing papers in PubMed.

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  10. Genetic Diversity and Potential Paths of Transmission ofFrontiers in veterinary science · 2021
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  15. Microorganisms · 2020
    Review
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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

8 authors.

Francesc CollFaculty of Infectious and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, UK. francesc.coll@lshtm.ac.uk
Kim Mallard
Mark D Preston
Stephen Bentley
Julian Parkhill
Ruth McNerney
Nigel Martin
Taane G Clark

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

summarySpoligotyping is a well-established genotyping technique based on the presence of unique DNA sequences in Mycobacterium tuberculosis (Mtb), the causal agent of tuberculosis disease (TB). Although advances in sequencing technologies are leading to whole-genome bacterial characterization, tens of thousands of isolates have been spoligotyped, giving a global view of Mtb strain diversity. To bridge the gap, we have developed SpolPred, a software to predict the spoligotype from raw sequence reads. Our approach is compared with experimentally and de novo assembly determined strain types in a set of 44 Mtb isolates. In silico and experimental results are identical for almost all isolates (39/44). However, SpolPred detected five experimentally false spoligotypes and was more accurate and faster than the assembling strategy. Application of SpolPred to an additional seven isolates with no laboratory data led to types that clustered with identical experimental types in a phylogenetic analysis using single-nucleotide polymorphisms. Our results demonstrate the usefulness of the tool and its role in revealing experimental limitations. AVAILABILITY AND IMPLEMENTATION: SpolPred is written in C and is available from www.pathogenseq.org/spolpred. CONTACT: francesc.coll@lshtm.ac.uk. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics Online.

Indexed as

SoftwareBacterial Typing TechniquesGenome, BacterialGenotypeHumansMycobacterium tuberculosisPhylogenyTuberculosis

Identifiers

PMID23014632
PMCPMC3496340

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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.