Evidence map›Paper›PMID 24589256›Full record

ArticleBMC bioinformatics2014

Identification of pathogen genomic variants through an integrated pipeline.

Micah J Manary, Suriya S Singhakul, Erika L Flannery, Selina Er Bopp, Victoria C Corey, Andrew Taylor Bright, Case W McNamara, John R Walker, Elizabeth A Winzeler

Abstract read
In one paragraph

Article in BMC bioinformatics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

37 citing papers in PubMed.

  1. Article
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  5. Fast-Killing Tyrosine Amide ((ACS infectious diseases · 2023
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  11. PfMFR3: A Multidrug-Resistant Modulator inACS infectious diseases · 2021
    Article
  12. Article
  13. Article
  14. The mutation of a PECTATE LYASE-LIKE gene is responsible for the Yellow Margin phenotype in potato.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2020
    Article
  15. Article
  16. 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

9 authors.

Micah J ManaryDepartment of Pediatrics, University of California, San Diego, School of Medicine, 9500 Gilman Drive 0741, La Jolla, California 92093, USA. mmanary@ucsd.edu.
Suriya S Singhakul
Erika L Flannery
Selina Er Bopp
Victoria C Corey
Andrew Taylor Bright
Case W McNamara
John R Walker
Elizabeth A Winzeler

Funding

Training Program in Basic Clinical GeneticsT32GM008666 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI HAMILTON, BRUCE A · 1998 to 2021
$8.6M
Discovery of chemically validated malaria liver stage targetsR01AI090141 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI WINZELER, ELIZABETH A · 2011 to 2019
$3.4M
Defining the targets of broad intervention antimalarial agentsR01AI103058 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI WINZELER, ELIZABETH A · 2013 to 2016
$2.6M
NIAID NIH HHS 7 R01 AI090141-02NIAID NIH HHS R01 AI090141NIAID NIH HHS R01 AI103058NIGMS NIH HHS T32 GM008666
6 · The paper itself

Abstract

backgroundWhole-genome sequencing represents a powerful experimental tool for pathogen research. We present methods for the analysis of small eukaryotic genomes, including a streamlined system (called Platypus) for finding single nucleotide and copy number variants as well as recombination events.

resultsWe have validated our pipeline using four sets of Plasmodium falciparum drug resistant data containing 26 clones from 3D7 and Dd2 background strains, identifying an average of 11 single nucleotide variants per clone. We also identify 8 copy number variants with contributions to resistance, and report for the first time that all analyzed amplification events are in tandem.

conclusionsThe Platypus pipeline provides malaria researchers with a powerful tool to analyze short read sequencing data. It provides an accurate way to detect SNVs using known software packages, and a novel methodology for detection of CNVs, though it does not currently support detection of small indels. We have validated that the pipeline detects known SNVs in a variety of samples while filtering out spurious data. We bundle the methods into a freely available package.

Indexed as

SoftwareAntimalarialsDNA Copy Number VariationsDNA, ProtozoanDrug ResistanceGenome, ProtozoanGenomicsPlasmodium falciparumPolymorphism, Single NucleotideSequence Analysis, DNAAntimalarialsDNA, Protozoan

Identifiers

PMID24589256
PMCPMC3945619

What OpenQuestion holds

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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.