Evidence map›Paper›PMID 38656989›Full record

ArticleBioinformatics (Oxford, England)2024

AmplificationTimeR: an R package for timing sequential amplification events.

G Maria Jakobsdottir, Stefan C Dentro, Robert G Bristow, David C Wedge

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Natural history of liver fluke infection underpins epidemiological patterns of biliary cancer.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  2. A Thiopurine-like Mutagenic Process Defines TGCT Subtypes.bioRxiv : the preprint server for biology · 2025
    Article
  3. 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

4 authors.

G Maria JakobsdottirDivision of Cancer Sciences, University of Manchester, Manchester Academic Health Science Centre, Manchester M13 9PL, United Kingdom.ORCID 0000-0001-8225-6541
Stefan C DentroDivision of AI in Oncology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Robert G BristowDivision of Cancer Sciences, University of Manchester, Manchester Academic Health Science Centre, Manchester M13 9PL, United Kingdom.
David C WedgeDivision of Cancer Sciences, University of Manchester, Manchester Academic Health Science Centre, Manchester M13 9PL, United Kingdom.ORCID 0000-0002-7572-3196

Funding

Cancer Research UK RadNet Manchester C1994/A28701
6 · The paper itself

Abstract

motivationFew methods exist for timing individual amplification events in regions of focal amplification. Current methods are also limited in the copy number states that they are able to time. Here we introduce AmplificationTimeR, a method for timing higher level copy number gains and inferring the most parsimonious order of events for regions that have undergone both single gains and whole genome duplication. Our method is an extension of established approaches for timing genomic gains.

resultsWe can time more copy number states, and in states covered by other methods our results are comparable to previously published methods. AVAILABILITY AND IMPLEMENTATION: AmplificationTimer is freely available as an R package hosted at https://github.com/Wedge-lab/AmplificationTimeR.

Indexed as

SoftwareAlgorithmsDNA Copy Number VariationsGenomicsHumans

Identifiers

PMID38656989
PMCPMC11153944

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Registered trials

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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.