Evidence map›Paper›PMID 37024698›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2023

Copy Number Variation and Allele Ratio Analysis in Candida albicans Using Whole Genome Sequencing Data.

Robert T Todd, Anna Selmecki

Open access · greenAbstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
15.5field-weighted citation impact, top 1% 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

7 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
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  6. Review
  7. Identification of an active RNAi pathway inProceedings of the National Academy of Sciences of the United States of America · 2024
    Article
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

2 authors at 1 institution in 1 country.

Robert T ToddDepartment of Microbiology and Immunology, University of Minnesota Medical School, Minneapolis, MN, USA.
Anna SelmeckiDepartment of Microbiology and Immunology, University of Minnesota Medical School, Minneapolis, MN, USA. selmecki@umn.edu.ORCID 0000-0003-3298-2400
University of Minnesota · US

Funding

Aneuploidy and Acquired Antifungal Drug Resistance in Candida speciesR01AI143689 · NIAID · UNIVERSITY OF MINNESOTA · PI Anna M. Selmecki · 2020 to 2026
$3.2M
NIAID NIH HHS R01 AI143689
6 · The paper itself

Abstract

Whole genome sequencing of human fungal pathogens has revolutionized the speed and accuracy in which sequence variants that cause antifungal resistance can be identified. Genome rearrangements resulting in copy number variation (CNV) are a significant source of acquired antifungal drug resistance across diverse fungal species. Some CNVs are transient in nature, while other CNVs are stable and well tolerated even in the absence of antifungal drugs. By visualizing whole genome sequencing read depth as a function of genomic location, CNVs and CNV breakpoints (genomic positions where the copy number changes occur relative to the rest of the genome) are rapidly identified. A similar analysis can be used to visualize allele ratio changes that occur across the genomes of heterozygous fungal species, both in the presence and absence of CNVs. This protocol walks through the bioinformatic analysis of CNVs and allele ratios utilizing free, open-source visualization tools. We provide code to use with an example dataset (matched antifungal drug-sensitive and drug-resistant Candida albicans isolates) and notes on how to expand this protocol to other fungal genomes.

Indexed as

Candida albicansDNA Copy Number VariationsAllelesAntifungal AgentsHumansWhole Genome SequencingAntifungal AgentsAllele ratioAneuploidyCNVCopy number variationRead depthRStudio

Identifiers

PMID37024698
PMCPMC10676714
OpenAlexW4362682843

What OpenQuestion holds

Textmetadata
LicenceTDM
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.