Evidence map›Paper›PMID 28961721›Full record

ArticleBioinformatics (Oxford, England)2018

Deconvolution of multiple infections in Plasmodium falciparum from high throughput sequencing data.

Sha Joe Zhu, Jacob Almagro-Garcia, Gil McVean

Open access · hybridAbstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 1 pooled it
6.7field-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

55 citing papers in PubMed, 1 synthesis or guideline pooled it, 94 citations in OpenAlex.

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  14. Phylogenomic reconstruction ofbioRxiv : the preprint server for biology · 2024
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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

3 authors at 3 institutions in 1 country.

Sha Joe ZhuWellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK.
Jacob Almagro-GarciaWellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK.
Gil McVeanWellcome Trust Centre for Human Genetics,University of Oxford, Oxford, UK.
Centre for Human Genetics · GBMedical Research Council · GBUniversity of Oxford · GB

Funding

Wellcome TrustWellcome Trust 100956/Z/13/Z
6 · The paper itself

Abstract

Motivation: The presence of multiple infecting strains of the malarial parasite Plasmodium falciparum affects key phenotypic traits, including drug resistance and risk of severe disease. Advances in protocols and sequencing technology have made it possible to obtain high-coverage genome-wide sequencing data from blood samples and blood spots taken in the field. However, analyzing and interpreting such data is challenging because of the high rate of multiple infections present. Results: We have developed a statistical method and implementation for deconvolving multiple genome sequences present in an individual with mixed infections. The software package DEploid uses haplotype structure within a reference panel of clonal isolates as a prior for haplotypes present in a given sample. It estimates the number of strains, their relative proportions and the haplotypes presented in a sample, allowing researchers to study multiple infection in malaria with an unprecedented level of detail. Availability and implementation: The open source implementation DEploid is freely available at https://github.com/mcveanlab/DEploid under the conditions of the GPLv3 license. An R version is available at https://github.com/mcveanlab/DEploid-r. Contact: joe.zhu@bdi.ox.ac.uk or gil.mcvean@bdi.ox.ac.uk. Supplementary information: Supplementary data are available at Bioinformatics online.

Indexed as

SoftwareCoinfectionHaplotypesHigh-Throughput Nucleotide SequencingHumansMalaria, FalciparumPlasmodium falciparumSequence Analysis, DNA

Identifiers

PMID28961721
PMCPMC5870807
OpenAlexW2951479370

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.