Evidence map›Paper›PMID 30609939›Full record

ArticleGenome biology2019

plyranges: a grammar of genomic data transformation.

Stuart Lee, Dianne Cook, Michael Lawrence

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in Genome biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 87 papers.

0numbers the graph read from it
0cells of the map it votes in
87citing papers in PubMed
5.2field-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

87 citing papers in PubMed, 141 citations in OpenAlex.

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  8. Efficient and Tidy Manipulation of Annotated Matrix Data with plyxp.bioRxiv : the preprint server for biology · 2026
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  16. TET3 protects theiScience · 2025
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27 more citing papers are in PubMed but not listed here.

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 2 institutions in 1 country.

Stuart LeeDepartment of Econometrics and Business Statistics, Monash University, Clayton, Australia.
Dianne CookDepartment of Econometrics and Business Statistics, Monash University, Clayton, Australia.
Michael LawrenceBioinformatics and Computational Biology, Genentech Research and Early Development, South San Francisco, USA. michafla@gene.com.
Monash University · AUWalter and Eliza Hall Institute of Medical Research · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bioconductor is a widely used R-based platform for genomics, but its host of complex genomic data structures places a cognitive burden on the user. For most tasks, the GRanges object would suffice, but there are gaps in the API that prevent its general use. By recognizing that the GRanges class follows "tidy" data principles, we create a grammar of genomic data transformation, defining verbs for performing actions on and between genomic interval data and providing a way of performing common data analysis tasks through a coherent interface to existing Bioconductor infrastructure. We implement this grammar as a Bioconductor/R package called plyranges.

Indexed as

SoftwareGenomicsTerminology as TopicBioconductorData analysisGenomesGrammar

Identifiers

PMID30609939
PMCPMC6320618
OpenAlexW2952053464

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.