ArticlePLoS computational biology2016
Inferring Strain Mixture within Clinical Plasmodium falciparum Isolates from Genomic Sequence Data.
Article in PLoS computational biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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.
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.
Who cites it
15 citing papers in PubMed.
- Malaria-MOI: A flexible and scalable tool for predicting multiplicity of infection in malaria parasites.Genome medicine · 2026Article
- Review of MrsFreqPhase methods: methods designed to estimate statistically malaria parasite multiplicity of infection, relatedness, frequency and phase.Malaria journal · 2024Review
- Phylogenomic reconstruction ofbioRxiv : the preprint server for biology · 2024Article
- An Optimized GATK4 Pipeline for Plasmodium falciparum Whole Genome Sequencing Variant Calling and Analysis.Research square · 2023Article
- An open dataset ofWellcome open research · 2021Article
- Co-transmission of Related Malaria Parasite Lineages Shapes Within-Host Parasite Diversity.Cell host & microbe · 2020Article
- Computational Methods for Strain-Level Microbial Detection in Colony and Metagenome Sequencing Data.Frontiers in microbiology · 2020Review
- Host-Malaria Parasite Interactions and Impacts on Mutual Evolution.Frontiers in cellular and infection microbiology · 2020Review
- Type I Interferons and Malaria: A Double-Edge Sword Against a Complex Parasitic Disease.Frontiers in cellular and infection microbiology · 2020Review
- Article
- Intra-host dynamics of co-infecting parasite genotypes in asymptomatic malaria patients.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2018Article
- Deconvolution of multiple infections in Plasmodium falciparum from high throughput sequencing data.Bioinformatics (Oxford, England) · 2018Article
- High-Resolution Single-Cell Sequencing of Malaria Parasites.Genome biology and evolution · 2017Article
- THE REAL McCOIL: A method for the concurrent estimation of the complexity of infection and SNP allele frequency for malaria parasites.PLoS computational biology · 2017Article
- Approaches to estimating inbreeding coefficients in clinical isolates of Plasmodium falciparum from genomic sequence data.Malaria journal · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
We present a rigorous statistical model that infers the structure of P. falciparum mixtures-including the number of strains present, their proportion within the samples, and the amount of unexplained mixture-using whole genome sequence (WGS) data. Applied to simulation data, artificial laboratory mixtures, and field samples, the model provides reasonable inference with as few as 10 reads or 50 SNPs and works efficiently even with much larger data sets. Source code and example data for the model are provided in an open source fashion. We discuss the possible uses of this model as a window into within-host selection for clinical and epidemiological studies.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.